Journal of Internet Technology: Announcements
type: channel
description: Journal Sponsorship The Journal of Internet Technology (JIT) accepts original technical articles in all disciplines of Internet Technology and Applications. JIT has been publishing articles since 2000 and open access since 2018. Manuscripts are submitted for review with the understanding that they have not been published elsewhere. Each author is advised to submit the manuscripts, typewritten, double-spaced, in ps, doc, or pdf formats to the executive editor for peer review. Original drawing need not be sent until the paper is accepted. Once accepted, the manuscript should be submitted as a Microsoft Word or other WORD-processing file and send it through electronic mail along with short biographies and photographs for all the authors. Authors need to pay the publication fee. The author(s) will be responsible for proof-reading the paper. All copyright ownership of the paper will belong to the Journal once it is published. There are six issues a year for this Journal and reviewing results will be provided within six month for most of the submitted manuscripts. Details of electronic submission are shown in the journal website. Topics of interest to JIT include but not limited to: Broadband Networks Wireless Communication Telecommunication Networks Transportation Networks UAV-assisted Networks Satellite Communication Quantum Internet Network Management Network Operating System (NOS) Network Behavior Modeling Security for Networks and Systems Multimedia systems Electronic service systems (Internet, Intranet, Extranet, E-Commerce, E-Business, E-Learning) Cloud Computing / Fog Computing / Edge Computing Internet of Things (IoT) and Internet of Everything (IoX) Big Data for Networking Fintech and Blockchain Artificial Intelligence (AI) for Networking and Service (E-Commerce, E-Business, E-Learning) Government or Staff Jobs Computerization National Information Policy Digital Library Distance Learning Innovative Applications of Network Technologies JIT does not open call for …
language: en-US
items: Special Issue: Intelligent Data Analytics and Cross-Domain Security in AIoT
items: Special Issue: 2026 International Conference on Applied System Innovation (ICASI 2026)
items: Special Issue: Networked Systems and Computational Intelligence for Next-Generation Healthcare: Data Acquisition, Processing, and Management
items: Special Issue: Social Intelligent Computing in Internet Technology
items: Special Issue: Recent Advance of IoT in the Social Science
items: Special Issue: Advances in AI Techniques for Intelligent IoT
items: Message: Article Processing Charge
items: Special Issue: Integrating Artificial Intelligence in Online Education: Innovations, Challenges, and Future Directions
items: Special Issue: International Conference on Innovation, Communication and Engineering 2024 (ICICE 2024)
items: Special Issue: 6G Enabled Intelligent Edge Computing and Human-Centric IoT
items: Special Issue: Advances in Computing and Information Technologies: Towards a Sustainable Digital Wellbeing
items: Special Issue: Emerging security and privacy issues and their countermeasures in Industrial Internet of Things (IIoT)
items: Special Issue: Selected papers from “9th International Conference on Applied System Innovation 2023 (ICASI 2023)”
items: Special Issue: Blockchain with 5G-6G for E-Commerce- Enabling Endogenously Secure E-Commerce Applications
items: Special Issue: Advanced Technologies of Mobile Cloud Platforms
items: Special Issue: Selected papers from "DSA, ISSSR, and QRS 2022"
items: Message: Special Issues suspended
items: Special Issue: “Recent Advance in Future IoT for Intelligent Society and Industry”
items: Message: Highly Cited Papers
items: Special Issue: Advances in Green Communication Technologies for Future Generation Computing Systems
items: Special Issue: “The 17th International Conference on Information Security Practice and Experience (ISPEC 2022)”
items: Special Issue: Insights of Energy Efficient Smart Buildings: An IoT-Based Approach
items: Special Issue: Selected Papers from The 12th International Conference on Electronics, Communications and Networks (CECNet 2022)- “Recent Advances in Communication Technology and Its Applications”
items: Special Issue: Blockchain as a Services: Architecture, Networking and Applications
items: Special Issue: Artificial Intelligence Assisted Industrial IoT for Machine Health Monitoring
items: Special Issue: Advances in Data Fusion for Monitoring and Change Detection in UAV
items: Special Issue: Smart Logistics Technologies for E-Business and Mobile Commerce
items: Special Issue: Intelligent Techniques for Efficient Resource Management in IoT Networks
items: Special Issue: Selected Papers from International Conference on Innovative Computing, Intelligent Communication and Smart Electrical systems (ICSES -2021)
items: Special Issue: Cryptography for Secure Blockchain
items: Special Issue: Comparison of 5G and Emerging 6G Technology and Its Application to develop New Generation of Wireless Sensor Networks
items: Special Issue: Securing 5G and Beyond Networks with Physical Layer Security
items: Special Issue: Deep Intelligence for Social Media Analytics
items: Special Issue: Selected papers from 2021 the 4th International Conference on Intelligent Autonomous System- Hybrid fuzzy systems for mobile robots and their applications
items: Special Issue: 6G-Enabled Internet of Things: Emerging Research Advances, Prospects, and Challenges
items: Special Issue: Selected Papers from EAI Chinacom 2021 - 16th EAI International Conference on Communications and Networking in China
items: Special Issue: Current Trends, Challenges, and New Enablers of E-Commerce Applications
items: Special Issue: Selected Papers from “7th International Conference on Applied System Innovation 2021 (ICASI 2021)”
items: Special Issue: Dependability and Quality Assurance of Internet-based Systems and Software
items: Special Issue: Current Trends and the Future of Internet of Things (IOT) in Industry and Enterprise
items: Special Issue: Intelligent Methods for Internet of Things
items: Special Issue: Digital Library Education and Digital Literacy from a Post COVID-19 Perspective
items: Special Issue: Intelligent Wireless Systems and urgent ICT Technologies for Selected Papers from FutureICT 2021
items: Special Issue: Intelligent computing with internet of things learning
items: Special Issue: Computational Intelligence for Cognitive Internet of Things
items: Special Issue: Selected Papers from “The 11th International Conference on Electronics, Communications and Networks (CECNet 2021)”
items: Special Issue: IoT in Flipped Classrooms for Modern Education
items: Special Issue: Chinacom 2020 - 15th EAI International Conference on Communications and Networking in China
items: Special Issue: IoT for Smart Learning Environments
items: Special Issue: Sustainable Development of Smart Cities with Edge Computing Techniques
items: Special Issue: “15th Asia Joint Conference on Information Security (AsiaJCIS 2020)”
items: Special Issue: Selected Papers from “The 10th International Conference on Electronics, Communications and Networks (CECNet2020)”
items: Special Issue: Special Issue on “Cyber Security in Internet of Vehicles (IoV)”
items: Special Issue: “Deep learning algorithms for enhancing security in Cloud Service”
items: Special Issue: Selected Papers from “The 2nd International Conference on Sensor Networks and Signal Processing (SNSP 2019)”
items: Special Issue: Selected Papers From “8th IEEE International Conference on Innovation, Communication and Engineering 2019 (IEEE ICICE 2019)”
items: Special Issue: “Social Issues Regarding Recent Advances in Internet Applications” (WiCON 2019)
items: Message: Supporting Open Access
items: Special Issue: Advanced Artificial Intelligence for Industrial Internet of Things
items: Special Issue: Selected manuscripts from “IEEE International Conference on Consumer Electronics – Taiwan, 2019”
items: Special Issue: “The 9th International Conference on Electronics, Communications and Networks (CECNet 2019)”
items: Special Issue: Edge Computing – The New Frontier of IoT and 5G Applications
items: Special Issue: “14th EAI International Conference on Communications and Networking in China (Chinacom 2019)”
items: Special Issue: “Emerging Techniques and Applications for 5G Networks and IoT Systems”
items: Special Issue: Selected Papers from “2018 International Conference on Computational Intelligence and Computing Research (ICCIC)”
items: Special Issue: Selected papers from “2018 International Conference on Recent Advancements in Computing, IoT and Computer Engineering Technology (CICET18)”
items: Special Issue: "Machine Learning Algorithms for Self-organizing Peer-to-Peer (P2P) Network"
items: Special Issue: Selected papers from “2018 International Conference on Innovation, Communication and Engineering (ICICE 2018)”
items: Message: 2017 SCIE Impact Factor
items: Special Issue: Selected Papers from “COMPUTATIONAL APPROACHES IN CLOUD BASED IoT”.
items: Special Issue: Selected papers from "The 2018 IEEE Conference on Dependable and Secure Computing (DSC 2018)"
items: Special Issue: “International Conference on the Development and Application of Big Data and Enterprise Resource Management, 2018 (ICBDERM)”
items: Special Issue: Cyber Security and Cloud Computing
items: Special Issue: Selected papers from IoTaas 2017
items: Special Issue: “Based Cooperative Communications and Mechanisms for Wireless Sensor Networks”

Special Issue: Intelligent Data Analytics and Cross-Domain Security in AIoT
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description: Theme and Scope Ambient Intelligence of Things (AIoT) technology, which combines the Internet of Things (IoT) and Artificial Intelligence (AI), is realizing real-time intelligence across all industrial sectors, including manufacturing, defense, energy, and healthcare. However, as the AIoT ecosystem expands, data now traverses various network domains with differing security levels (Edge, Private/Public Cloud, Isolated Networks), leading to unprecedented security vulnerabilities. In particular, in environments implementing strict network isolation policies—such as critical national infrastructure or smart factories—security barriers designed to block external threats are paradoxically causing data isolation, which hinders the flow necessary for intelligent data analysis. Therefore, this special issue seeks innovative research that explores the synergy between data analysis and perimeter security technologies in the AIoT environment. We aim to go beyond technologies that merely detect security threats and propose an intelligent data pipeline architecture where security is embedded from the design stage (Security-by-Design). Through this, we envision the future of intelligent systems where data flows securely, is highly analyzed, and makes trustworthy decisions. Topics of Interest This issue welcomes broad research that includes, but is not limited to, the following topics. Track 1: AI-Driven Advanced Data Analytics in AIoT Spatio-temporal Data Mining Intelligent data preprocessing and purification Multimodal data fusion analysis Federated Learning for AIoT Lightweight analysis models and TinyML Analytics for resource-constrained AIoT devices Predictive maintenance and context-aware analysis based on unstructured/time-series data Track 2: Cross-Domain Data Pipeline & Security Intelligent CDS Data Sovereignty Protection Analysis Cross-Domain Transfer Learning Secure Federated Learning Architecture Data Sandbox and Security Analysis Environments Track 3: Cybersecurity Ana…
creator: Journal of Internet Technology
date: 2026-05-18

Special Issue: 2026 International Conference on Applied System Innovation (ICASI 2026)
type: item
description: Theme and Scope Artificial Intelligence (AI) technologies are profoundly transforming the landscape of modern networking, digital infrastructure, and industrial ecosystems. The convergence of AI, Internet of Things (IoT), Edge Computing, Large Language Models (LLMs) for Intelligent Services, AI-Driven Digital Twin and Metaverse Applications, and Big Data is accelerating the development of intelligent, decentralized, and autonomous systems. These advancements are expected to play a critical role in shaping the next generation of smart applications in the post-pandemic digital era. The following outlines several key prospects and research directions of AI-driven technologies for science, engineering, and industry: 1. Advanced Data Intelligence and Predictive Analytics AI technologies have significantly enhanced the ability to extract meaningful insights from large-scale, heterogeneous data sources. By integrating Big Data analytics, machine learning, and AI-driven network intelligence, organizations can achieve more accurate forecasting and real-time decision-making. These capabilities are especially critical in complex networked environments, where predictive models can optimize traffic flow, detect anomalies, and improve system resilience. Furthermore, AI-powered analytics can support emerging applications such as Digital Twins, enabling real-time simulation and predictive maintenance across cyber-physical systems. 2. Autonomous Systems and AI Agents in Intelligent Networks The emergence of AI Agents and Autonomous Systems is redefining how networks operate and adapt. Intelligent agents embedded within network infrastructures can autonomously monitor conditions, optimize resource allocation, and respond to dynamic changes without human intervention. In combination with Edge AI and IoT, these systems enable distributed intelligence, reducing latency and improving responsiveness in real-time applications such as smart cities, autonomous vehicles, and industrial automa…
creator: Journal of Internet Technology
date: 2026-05-05

Special Issue: Networked Systems and Computational Intelligence for Next-Generation Healthcare: Data Acquisition, Processing, and Management
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description: Theme and Scope In recent years, how physiological and health-related data can be collected has dramatically expanded. Besides traditional clinical records and medical imaging, data are now gathered through wearable devices, IoT sensors, and other networked monitoring systems. These technologies enable continuous real-time collection of physiological and contextual data, going beyond traditional clinical environments. Effectively using these diverse data sources requires a reliable communication infrastructure and computing frameworks that support ongoing data integration and analysis across distributed systems. In parallel, developments in network architectures, distributed computing (including cloud, fog, and edge environments), and data processing methods have expanded the possibilities for health management. These technologies allow information to be collected and analyzed closer to the source, support real-time monitoring, and facilitate applications ranging from personalized care to strategic planning. At the same time, the increasing interconnection of devices and services raises concerns regarding scalability, reliability, security, and interoperability, which must be addressed for such systems to function effectively in practice. This Special Issue focuses on studies that address how networked systems and distributed computing frameworks can be applied to health data management and service delivery. We particularly welcome contributions that propose systematic solutions to practical problems, such as network and system design for real-time data transmission, distributed algorithms for large-scale health data processing, and methods for integrating heterogeneous data streams from wearable and IoT devices. Application-driven research that links communication technologies, computational methods, and healthcare management is especially encouraged. Topics of Interest Original research articles are invited in, but not limited to, the following areas: Artificial i…
creator: Journal of Internet Technology
date: 2025-12-23

Special Issue: Social Intelligent Computing in Internet Technology
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description: Theme and Scope The rapid evolution of internet technology has led to the emergence of social intelligent computing, where artificial intelligence, cognitive computing, and social network analysis converge to enhance digital interactions. This special issue explores the integration of social intelligence in internet technology, focusing on how computational models, machine learning, and big data analytics can optimize user-centric applications and improve decision-making in dynamic digital environments. Social intelligent computing plays a critical role in enabling adaptive, interactive, and context-aware internet applications. By understanding human behavior, cognitive processes, and social dynamics, intelligent systems can facilitate personalized user experiences, enhance online communication, and support smart decision-making in various domains such as e-commerce, healthcare, education, and cybersecurity. Additionally, the intersection of AI-driven computing and social intelligence has the potential to reshape smart cities, IoT ecosystems, and next-generation digital infrastructures. This special issue invites original research contributions, case studies, and review articles that advance the field of social intelligent computing in internet technology. The aim is to foster discussions on novel methodologies, frameworks, and applications that leverage AI, big data, and emerging technologies to enhance social interactions, trust, and decision-making in connected environments. Subject Coverage In this special issue, we call for original papers that describe state-of-the-art technologies and new research findings. Suitable topics include, but are not limited to the following: Social Intelligence in Internet Systems Cognitive Computing in Internet Applications Internet of Things (IoT) and Social Computing Cloud and Edge Computing for Social Intelligence Artificial Intelligence and Machine Learning for Social Computing Cybersecurity and Privacy in Social Intelligent C…
creator: Journal of Internet Technology
date: 2025-03-27

Special Issue: Recent Advance of IoT in the Social Science
type: item
description: Theme and Scope Innovative solutions provided by communication technologies have significantly contributed to addressing future challenges in social, environmental, and economic domains. These solutions enhance efficiency, strengthen network usage, and facilitate more informed decision-making. Notably, the Internet of Things (IoT), which integrates machines and other entities into network systems, demands increasingly sophisticated communication. Consequently, dynamic interactions within networks are crucial for connecting intelligent machines. The collaboration of digital twins necessitates sensor data, which are embedded within pervasive cyber-physical systems composed of physical objects. Therefore, the EAI SGIoT 2024 special issue focuses on exploring applications and addressing significant research challenges. This special issue emphasizes practical and effective approaches that meet societal needs through improved resource utilization, collaboration, competence transfer, status verification, privacy protection, security, and safety. The topics covered, though not limited to, include healthcare, safety, retail, finance, energy, audio-visual, and legal industries. These areas are integral to the future development of intelligent societies and industries. Topics appropriate for this special issue include, but are not limited to: Industrial IoT services and applications, IoT and Fin-tech applications, IoT and healthcare applications, IoT and fitness applications, IoT and commercial management, IoT and energy management, Big data analysis in the IoT, Intellectual property matters regarding recent advances on IoT, Security, privacy, and dependability issues, Voice, Image and Video Processing in the IoT Papers submitted to the special issue should contain original materials not published in nor submitted to other journals. Proposed Submissions The guest editors expect that this special issue of JIT will attract not only the outstanding results from local researchers …
creator: Journal of Internet Technology
date: 2024-11-21

Special Issue: Advances in AI Techniques for Intelligent IoT
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description: Theme and Scope The recent advancements in smart devices, mobile networks, and computing technologies are ushering us into a new era of intelligent IoT. To enable these smart devices to provide intelligent services, machine learning techniques are essential for training powerful predictive models. A common approach involves collecting distributed user data to a central cloud for deep learning model training. However, transferring massive amounts of data to the cloud center can cause significant transmission pressure on the backbone network. Additionally, increasing concerns about data privacy and the enforcement of privacy protection laws make it impractical to transmit data from end devices to the cloud. Despite these advancements, existing AI techniques face several limitations that require novel solutions to better comprehend and improve their potential for decision-making in various real-world applications. Key challenges for employing diverse AI techniques include network management, communication efficiency, client selection and scheduling, resource management, security and privacy concerns, incentive mechanisms, and service management and pricing. Addressing these challenges calls for various techniques, including but not limited to: Data augmentation Active learning Multi-task learning Knowledge distillation Model compression Game theory Trust and reputation systems Multi-objective optimization Reinforcement learning Transfer learning Blockchain technology AI based technology Instructions for Manuscripts Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. All submitted papers must conform to the layout and format guidelines of JIT. All manuscripts will be peer-reviewed before their acceptance for publication. Submissions must be directly sent via email to Leading Guest Editor, Prof. Young-Sik Jeong: youngsik.cswrg@gmail.com Important Dates The deadline for manuscript submission: 31 Mar. 2025 Te…
creator: Journal of Internet Technology
date: 2024-10-18

Message: Article Processing Charge
type: item
description: Article Processing Charge: From October 1st, 2024, the publication charge of each paper overseas is USD$1,200. There is an additional USD$200 charge if the length of your paper is 5,001 words to 8,000 words. The publication charge for authors within Taiwan is NT$18,000, with an additional NT$4,000 charge if your paper is 5,001 words to 8,000 words. The length of a full paper normally should not exceed 5,000 words. The word limit of each paper is 8,000 words, including the references and authors' short biographies. There are extra charges for USD$300-USD$1,000/1,000 words if your paper is over 8,000 words. Overseas: Within 5,000 words: USD$1,200. 5,001 words- 8,000 words: USD$1,400. Within Taiwan: Within 5,000 words: NT$18,000. 5,001 words- 8,000 words: NT$22,000. Note: The corresponding author or the first author is Taiwanese, whose main affiliation is Taiwanese institution, and issue a Taiwanese receipt.
creator: Journal of Internet Technology
date: 2024-09-23

Special Issue: Integrating Artificial Intelligence in Online Education: Innovations, Challenges, and Future Directions
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description: Theme and Scope The convergence of artificial intelligence (AI) and online education is revolutionizing the educational landscape, offering both unprecedented opportunities and significant challenges. AI technologies, including machine learning, natural language processing, and intelligent tutoring systems, have the potential to transform how learners access and engage with educational content, how instructors design and deliver courses, and how institutions assess and support student outcomes. The proliferation of these technologies enables more personalized learning experiences, where content and pacing are adapted in real-time to individual learner needs, abilities, and preferences. AI-driven systems can offer data-driven insights into student progress, enhance engagement through interactive tools, and even automate routine tasks for educators, freeing up time for more meaningful instructional interactions. Despite these promising advancements, the integration of AI into online education raises important questions regarding equity, ethics, and the role of human educators. The deployment of AI in education is not without its challenges—ranging from algorithmic bias and privacy concerns to the risk of deepening the digital divide. Furthermore, the reliance on AI could shift the educational paradigm, potentially reducing the human-centered elements of teaching, such as mentorship, empathy, and nuanced judgment, which are critical to the learning process. It is crucial to explore not only the technological aspects of AI in education but also the broader societal and pedagogical impacts. This special issue seeks to provide a comprehensive exploration of how AI can be effectively integrated into online education to benefit diverse learners, while also addressing the significant challenges that accompany this technological shift. It aims to present cutting-edge research on AI applications, explore emerging trends, and foster an interdisciplinary dialogue on the long-ter…
creator: Journal of Internet Technology
date: 2024-09-04

Special Issue: International Conference on Innovation, Communication and Engineering 2024 (ICICE 2024)
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description: Theme and Scope AI technologies have brought significant changes to the industry, and these changes are likely to continue influencing the community in the post-pandemic era. Here are some potential prospects of AI technologies for science and industry: 1. Enhanced Data Analysis and Predictive Capabilities: AI technologies have shown great potential in data analysis and predictive capabilities. Companies and research institutions use AI to process and analyze large volumes of data, allowing for more accurate predictions of market trends, consumer behavior, and scientific research directions. This not only improves decision-making accuracy but also significantly reduces the time required for analysis, enhancing operational efficiency and competitiveness. For example, AI can analyze medical data to predict disease outbreaks in advance and develop effective countermeasures. 2. Intelligent Automation and Productivity Improvement: The application of AI technologies in automation has dramatically changed traditional workflows. By incorporating machine learning and natural language processing technologies, many repetitive and low-value tasks can be automated, freeing up human resources to focus on more creative and strategic tasks. Intelligent manufacturing systems in the industrial sector, intelligent customer service in the financial industry, and automated delivery systems in logistics are all typical examples of AI-driven intelligent automation. 3. Personalized Experiences and Service Innovation: AI technologies enable companies to offer highly personalized products and services based on individual needs and preferences. By using deep learning algorithms to analyze user data, companies can provide customized recommendations and service plans for each consumer, thereby improving customer satisfaction and loyalty. For instance, e-commerce platforms use AI to recommend products to consumers, and streaming services offer personalized content recommendations, all of which s…
creator: Journal of Internet Technology
date: 2024-08-05

Special Issue: 6G Enabled Intelligent Edge Computing and Human-Centric IoT
type: item
description: Theme and Scope With the increasing demand for high-speed and low-latency connections, the development of 6G networks that surpass the performance of existing 5G networks is accelerating. 6G networks, which will enable enhanced mobile broadband, a wide range of mechanical communications, highly reliable low latency, sensing capabilities, and application services covering artificial intelligence (AI), will integrate edge and core computing as components of a unified communication and computational infrastructure. As high communication speed and efficient data processing become possible, the utilization of IoT and edge computing technologies based on 6G networks will be applied in various fields such as human-centered real-life technology, safety, convenience technology, autonomous vehicles, smart cities, and telemedicine. Various business models and strategies applying this technology will also emerge. For edge computing platforms, instead of transferring all the collected data directly to the centralized cloud, they can preprocess the data at edge nodes, reducing service latency and energy consumption compared to centralized cloud platforms. In particular, intelligent edge computing provides an opportunity to improve the energy efficiency of IoT and meet the requirements of remote IoT services. Due to these advantages, intelligent edge computing based on 6G is being studied in various fields and methods such as human-centered convenience, efficiency, and service support in smart homes, offices, transportation, healthcare and medical, smart cities, intelligent communication, and smart agriculture. Additionally, in recent years, various IoT devices such as home appliances, sensors, actuators, and drones are being connected to an integrated IoT network where each component can interact. Research on device-edge-cloud continuum platforms that utilize the rich functions and resources provided by edge nodes and the cloud is also underway. This special issue collects the la…
creator: Journal of Internet Technology
date: 2024-08-05

Special Issue: Advances in Computing and Information Technologies: Towards a Sustainable Digital Wellbeing
type: item
description: Theme and Scope In the wake of unprecedented technological growth, our society is at a crossroads where integrating advanced computing and information technologies, including generative AI and the metaverse, can profoundly impact human well-being and environmental sustainability. As generative AI and the metaverse redefine the boundaries of digital interaction, there is a pressing need to ensure these technologies are developed and implemented in ways that prioritize human and environmental wellbeing. This special issue seeks to illuminate the path forward, fostering a dialogue that can guide responsible innovation and adopting these transformative technologies, it also addresses the urgent need to ensure that technological advances contribute positively to human well-being without exacerbating environmental degradation or social inequality. This special issue explores the complex interplay between these technologies and sustainable digital well-being, comprehensively examining the challenges, opportunities, and best practices that emerge at this intersection, focusing on how digital technologies can be harnessed to promote sustainable digital well-being. This special issue aims to inspire a collective effort toward creating digital ecosystems that are inclusive, equitable, and aligned with global sustainability goals. By bringing together a diverse array of voices and insights, the issue will significantly impact the future of digital wellbeing. This special issue will delve into a wide array of topics, with a particular focus on the following areas but are not limited to: Ethical AI and Metaverse Design AI for mental health and self-care AI for physical health and wellbeing Personalized healthcare and AI AI for personalized nutrition and fitness plans ICT for health and wellbeing Wearable technology for health and wellbeing Health monitoring and tracking Emerging technologies in health and wellbeing Human-technology interaction and design for wellbeing Sustainable…
creator: Journal of Internet Technology
date: 2024-07-15

Special Issue: Emerging security and privacy issues and their countermeasures in Industrial Internet of Things (IIoT)
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description: Theme and Scope The technologies developed using the Internet of Things (IoT) consist of a set of mechanical & digital computing systems which are interconnected to transmit data over a network without relying on any human interference. Moreover, in recent years, developers have popularised the concept using IoT services coupled with Artificial intelligence (AI) to provide real-time applications. These applications have enhanced the development and productivity of sectors such as agriculture, healthcare, transportation, and many more. Furthermore, IoT technologies are also integrated with machine learning (ML) models which result in the enhancement of complex applications in the fields of smart cities, synthetic vision, etc. This provides a significant push to the existing state-of-the-art techniques to scale up to a wide variety of high-level tasks. Therefore, a lot of industries are putting emphasis on gearing up their developments and research work to channel ML and AI techniques into their IoT-based endeavours. Since, the existing big data analytics, depth learning, deep intelligence, fog computing, and sustainable networks, are all part of the complex IoT application environment, it is difficult to keep track of advanced security threats posed by external attackers and malicious users who attempt to hack these IoT networks. Therefore, it is high time to generate awareness among end users & companies that rely on IoT-based applications, especially monetary applications, to safeguard them against such emerging threats. This Special Issue invites researchers and academics to present their ideas on advanced development in AI and ML technologies that can be integrated with IoT to enhance medical, industrial, agricultural, and healthcare systems. Since IoT networks operate on vast volumes of data and complex algorithms, using AI and ML techniques helps in managing the huge datasets and also enables the applications to perform in real-time. The special issue will draw…
creator: Journal of Internet Technology
date: 2023-05-25

Special Issue: Selected papers from “9th International Conference on Applied System Innovation 2023 (ICASI 2023)”
type: item
description: Theme and Scope The COVID-19 pandemic has brought significant changes to the scientific and technological community, and it is likely that some of these changes will continue to impact the community in the post-epidemic era. Here are some potential outlooks for the scientific and technological community in the post-epidemic era: Increased investment in research and development: The pandemic has highlighted the importance of research and development in the field of healthcare and medicine. Governments and private organizations are likely to increase their investment in research to develop new treatments, vaccines, and medical technologies. Emphasis on remote work and collaboration: The pandemic has forced many scientists and researchers to work remotely, and this trend is likely to continue even after the pandemic. Remote work has shown that it is possible to collaborate effectively online, which could lead to increased collaboration across borders and time zones. Greater use of data analytics and AI: The pandemic has generated an enormous amount of data, which can be used to develop insights into the virus and its effects. Scientists and researchers are likely to use data analytics and artificial intelligence (AI) to analyze this data and develop new treatments and technologies. Greater focus on public health: The pandemic has highlighted the importance of public health, and this is likely to continue in the post-epidemic era. Scientists and researchers are likely to focus on developing technologies and treatments that can prevent the spread of infectious diseases and improve public health. Increased awareness of the importance of science: The pandemic has made the public more aware of the importance of science and its role in addressing global challenges. This increased awareness is likely to lead to increased support for scientific research and development. Overall, the post-epidemic era is likely to see significant changes in the scientific and technological comm…
creator: Journal of Internet Technology
date: 2023-03-06

Special Issue: Blockchain with 5G-6G for E-Commerce- Enabling Endogenously Secure E-Commerce Applications
type: item
description: Theme and Scope Blockchain technology is poised to greatly enhance the future of e-commerce. It allows payment settlements instantaneously with zero fraud, extremely high tolerances to DDoS attacks, and is resistant to the scalability issues associated with the networks. Collectively, blockchain and 5G/6G allow for endogenously secure applications that run on mobile devices. When the two most promising emerging technologies, blockchain and 5G/6G, are combined, it can lead to an entirely new generation of secure electronic commerce applications. Although the combination of blockchain/5G/6G is not a new concept, and the underlying technologies have been around for many years, their convergence in e-commerce holds great potential for creating disruptive business models with improved security and privacy models. The effective integration of these techniques provides opportunities for E-commerce through the provision of cryptographically secured infrastructures that are orders of magnitude more secure than their current counterparts. These systems will greatly enhance users' privacy, freedom, and choice by decentralizing information storage and processing. There is no doubt that future generations of 5G/6G networks will support blockchain-based solutions, which will enable users to benefit from faster operations. Blockchain technology can offer solutions including secure authentication to third parties, low transaction costs and high-security standards, using timestamps to detect fraudulent transactions. It is expected that blockchain will bring together the Internet of Things (IoT), E-commerce and emerging technologies, making them more reliable and efficient. Thus paving the way for endogenously secure e-commerce applications. Research in this stream will not only integrate blockchain and 5G/6G into a new paradigm but also increase transaction speed, security of both user and provider along with the generation of a new business ecosystem. It is expected to make great c…
creator: Journal of Internet Technology
date: 2022-10-27

Special Issue: Advanced Technologies of Mobile Cloud Platforms
type: item
description: Theme and Scope Since 2015, the use of mobile Internet access has increased compared to PC. In addition, with the current activation of 5G and the introduction of 6G, services using mobile will be further increased. As a result, the use of mobile cloud is increasing, and the technology of mobile cloud is continuously developing. Therefore, in this special issue, we are looking for papers dealing with various technologies in the mobile cloud platform. Areas relevant to mobile cloud platforms include, but are not limited to, new mobile cloud architecture and infrastructure, recent technologies of mobile cloud storage, recent technologies of mobile cloud networks, computation and data-intensive mobile cloud applications, task scheduling algorithms and techniques for mobile cloud platforms, resource management for mobile cloud platforms, serverless computing architecture and applications, container-based virtualization, hyper-converged infrastructure technologies, and artificial intelligence, machine learning, and deep learning technologies for mobile cloud platforms. Topics of interest include, but are not limited to: new mobile cloud architecture Technologies of mobile cloud storage Technologies of mobile cloud networks Data-intensive mobile cloud applications resource management for mobile cloud platforms Privacy and security for mobile cloud platforms Artificial intelligence, machine learning and deep learning; Computational and data science; Big data applications, algorithms, and systems; Cloud/edge/fog computing; Energy-efficient computing; Instructions for Manuscripts Prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Prof. Jong Hyuk (James) Park (Leading Guest Editor), james.park.cswrgsi@gmail.com Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including the references, illustrations and short biographies. More information can be found at https://jit.ndhu.ed…
creator: Journal of Internet Technology
date: 2022-09-07

Special Issue: Selected papers from "DSA, ISSSR, and QRS 2022"
type: item
description: Special Issue on "Quality Assurance of Dependable Systems and Software" Theme and Scope The Internet has prevailed everywhere. Many things are connected and communicated with each other within the same network or among different networks to provide aggregated services that have significant impacts on our lives. Quality assurance has become a critical component at every stage in the development of these things. In this special issue, we focus such things on Dependable Software Systems, especially systems whose operations are initiated and/or controlled by software. We emphasize three major research domains: 1) the quality assurance of artifacts generated during various stages of the development, such as program code and design documents, 2) the definition and exploration of quality relationships among different development phases, such as the impact that the quality of requirements might have on the quality of the derived architecture, and 3) the investigation of how codification and communication of knowledge affects the quality these artifacts. Topics of interest include, but are not limited to, the following: Testing and validation: automation, conformance, strategies, economics, performance and robustness, processes and standards Metrics and evaluation: management and assurance, measurement and benchmarking, review, inspection and walkthrough, reliability, safety, and security Formal methods and verification: program analysis, model checking, and model construction Components and reuse: requirements engineering, architecture, middleware, and application servers Emerging technology: pervasive computing, service-oriented computing, cloud computing, artificial intelligence and machine learning Applications: IoT systems, component-based systems, digital libraries, distributed systems, e-commerce, embedded systems, real-time systems, enterprise applications, information systems, multimedia, web-based systems, mission- and safety critical systems Instructions for Manus…
creator: Journal of Internet Technology
date: 2022-08-10

Message: Special Issues suspended
type: item
description: The following Special Issues have been suspended due to some particular reasons. The authors who would like to submit your works to those issues could submit your manuscripts through regular track. Thank you for considering the Journal of Internet Technology for your valuable works. Renewable Energy Integration in Smart Grid and Energy Internet AI-Powered Security- Privacy for Fog Computing and Industrial Internet of Things Adaptive Error Control in Wireless Sensor Networks Frontiers in Federated cloud and applications Intelligent Resource Management at the Edge for Future Web, Mobile and IoT Applications Trends in Quantum Computing and Future Applications Advances in Federated Learning for Secure Internet of Things
creator: Journal of Internet Technology
date: 2022-04-18

Special Issue: “Recent Advance in Future IoT for Intelligent Society and Industry”
type: item
description: Theme and Scope Internet of Things (IoT) technology gradually become part of life. The combinations and integrations of emerging technologies, i.e. 5G, AI, and Blockchain, will direct the future development of IoT industry. Thus, dynamically interactions within network are essential to the connections of intelligent machines. The collaborations of digital twins require the provision of sensor data, which contained pervasive cyber-physical systems consisting of physical objects. Hence, this special issue devoted a demand to reflect future applications and significant research challenges, and focuses on the discussion on research results of IoT technologies plunged into intelligent society and industry. Therefore, the special issue would refer to more practical and useful approaches in, e.g., healthcare, safety, retail, financial, energy audio-visual, or legal industries, which are closely connected to future developments of IoT. Original submissions regarding all areas related to advances on applications, methods and approaches envisioning to discourse the new challenges in IoT technologies are applicable. Topics appropriate for this special issue include, but are not limited to: Industrial IoT services and applications, IoT and Fin-tech applications, IoT and healthcare applications, IoT and fitness applications, IoT and commercial management, IoT and energy management, Big data analysis in the IoT Block chain technologies in the IoT, Intellectual property matters regarding recent advances on IoT, Security, privacy, and dependability issues, Voice, Image and Video Processing in the IoT Papers submitted to the special issue should contain original materials not published in nor submitted to other journals. Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including the references, illustrations and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Before submissi…
creator: Journal of Internet Technology
date: 2022-04-18

Message: Highly Cited Papers
type: item
creator: Journal of Internet Technology
date: 2022-03-28

Special Issue: Advances in Green Communication Technologies for Future Generation Computing Systems
type: item
description: Theme and Scope Over the last decade, information and communication technologies have attained enormous growth, and it may continue to rise exponentially in the coming years. In more precise terms, technology act as an enabling factor for communication, and it has the power to transform society. However, with increasing innovations, computing infrastructures and systems are rapidly growing, which makes them more complex and energy-constrained. The big data sources generated from a wide range of applications, including intelligent traffic control systems, military, healthcare, and smart cities, carry critical information that needs to be captured and processed at the right time for effective decision-making processes. Since a long time, the technique of wireless communication networks is being applied towards these applications, but it becomes inefficient and cost-expensive when dealing with a massive amount of big data sources. Further, it is estimated that these networks contribute to an increased CO2 emissions rate, causing adverse impacts on the environment. These occurrences are especially true in the aspect of future generation computing systems. Consequently, a common solution to the concerns mentioned above includes the development of low-cost, low-power, environment-friendly, context-aware self-optimizing technologies for future generation computing systems. Incorporating green communication strategies can potentially empower computing applications to make a real difference in the world of technology, enabling a better future for the digital generations to originate. The effective use of these techniques empowers energy efficiency and addresses environmental issues concerned with traditional information and communication technologies. In this context, green communication techniques enable numerous opportunities for next-generation modern computing systems. Further, it contributes to a significant economic value for the global economy and providing the basis …
creator: Journal of Internet Technology
date: 2022-03-21

Special Issue: “The 17th International Conference on Information Security Practice and Experience (ISPEC 2022)”
type: item
description: Theme and Scope The International Conference on Information Security Practice and Experience (ISPEC) solicits papers, posters, practices, and experiences for presenting innovative research results, problem solutions, and new challenges in the field of information security. The whole spectrum of IT systems and application areas, including hardware design and software systems, with stringent relevant to security and privacy concerns are of interest to ISPEC. This year, the 17th International Conference on Information Security Practice and Experience (ISPEC 2022) will be held in Taipei, Taiwan, on November 23-25, 2022. The conference will be organized by National Dong Hwa University (NDHU), Taiwan, and co-organized by National Taiwan University of Science and Technology (NTUST), Taiwan, and National Sun Yat-sen University (NSYSU), Taiwan. The aim of ISPEC 2022 is to provide a leading edge forum to foster interaction between researchers and developers with the information security practice and experience communities, and to give attendees an opportunity to interact with experts in academia, industry, and governments. More information about the conference can be found at its website, i.e. https://ispec2022.ndhu.edu.tw/. This special issue is to publish outstanding researches from ISPEC 2022. We plan to select the papers relevant to information security practice and experience from the accepted papers based on the reviews (comments and scores) and the presentations during the conferences. Each selected paper must be substantially extended, with at least 40% difference from its conference version. Topics of interest include but are not limited to: Access control Applied cryptography Big data security and privacy Biometric Security Cloud security Cryptocurrency Cyber security for urban transportation Cyber-physical security Data security in cloud computing Database security Digital forensics Embedded systems security Formal methods for security Intrusion detection Key manag…
creator: Journal of Internet Technology
date: 2022-03-21

Special Issue: Insights of Energy Efficient Smart Buildings: An IoT-Based Approach
type: item
description: Theme and Scope Smart buildings have been gaining pace in recent years. A smart building is one where all the electronic systems work together to make the user experience more pleasant. However, many people realize that even the most modern facilities are still not as efficient as possible. That provides an opportunity to create smarter buildings that do not waste energy while at the same time making sure occupants’ needs are met too. Energy efficiency is one of the biggest challenges that modern society is facing. In the next few years, we need to transition from traditional energy systems to smart building solutions for a smarter, more sustainable world. The evolution of IoT has been driven by an increasing demand for real-time information, on-demand services, and products and services tailored to individual requirements. The main causes of energy waste are inefficient lighting and air conditioning systems, inaccurate thermostats, and poor insulation. These factors make optimizing building performance a challenging task. There are three main areas IoT can be applied for energy efficiency. The first is monitoring actual energy use in buildings, which can be done using sensors or other devices connected to the network. The second area is predictive analytics, which means using the data to predict when equipment will fail and preventative maintenance. The third area is demand response, which refers to how buildings can respond to peak energy use and help reduce the overall amount of power used. A few of the challenges of implementing IoT solutions for smart buildings include lack of a clear business case, unsuitable existing IT environment, technical issues related to connecting sensors, security, service costs, and difficulty installing sensors. With the growing demand for energy and increasing energy costs, there is a great need to implement optimal energy efficiency solutions in buildings. To make this possible, reliable, real-time information on energy usage is r…
creator: Journal of Internet Technology
date: 2022-02-22

Special Issue: Selected Papers from The 12th International Conference on Electronics, Communications and Networks (CECNet 2022)- “Recent Advances in Communication Technology and Its Applications”
type: item
description: Theme and Scope Recent developments taken place in the era of communication throughout the globe are very attracting and remarkable. This was made possible due to the achievements and enhancements in new fields like Artificial Intelligence, Machine learning, Deep Learning, 5G and Big data analytics along with the rapid developments in electronics and information technology. With these tremendous happenings in the communication technology will definitely create a platform to fulfill our further dreams. The main purpose of this special issue is to publish selected high standard and worthy papers from “The 12th International Conference on Electronics, Communications and Networks (CECNet 2022)” and hence to solve our dreams to come practical solutions and also to face the challenges of the present internet technology Passionate. This special issue will also provide a great media to all the academicians, Industrialists and researchers to share all their views and concepts throughout the enthusiastic technology globalists. The worthy topics in this special issue include but are not limited to: Block chain Technology Artificial Intelligence Machine Learning Deep Learning Voice, Image and Video Processing Wireless Communication Networks Computing Technologies Sensor Technology Ocean & Satellite Technology IoT & Big Data Analysis Techniques Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is …
creator: Journal of Internet Technology
date: 2021-12-29

Special Issue: Blockchain as a Services: Architecture, Networking and Applications
type: item
description: Theme and Scope Blockchain is a decentralized technology that makes it hard to hack the platform or modify the information stored, making it safe and unchangeable. Furthermore, BaaS (Blockchain as a Service) is built upon the SaaS (software as a Service) model, enabling clients to construct, deploy, and run their blockchain applications and similar approaches on the blockchain using cloud-based solutions. The primary goal of BaaS is to allow applications to run without requiring the establishment of a blockchain-based infrastructure. In addition to that, BaaS supports consumers in establishing faster applications, minimal maintenance, and quicker deployment of Blockchain technologies. Furthermore, by choosing the suitable blockchain as a Service provider, businesses may have exposure to blockchain developers, procedures, regulation, and the entire cloud platform for design and deployment, everything without incurring any start-up or administrative expenses. Similarly, a reliable BaaS provider for the organization is a valuable source of pragmatic knowledge and understanding that can be exploited to improve the network's system security. Similarly, a competent Blockchain as a Service in an organization is usually a great source of technical insight that could aid organizations in improving their network security. It considerably reduces the amount of hazards that would otherwise have to be dealt with if the application was developed in house. In summary, the fundamental objective is to offer easy-to-use infrastructure-less, addressing the needs whenever required and providing immediate, portable information as wisdom coverage when needed. This issue aims to associate all the investigations related to architecture design, theories and algorithms, Scalability and fault tolerance mechanisms, performance analysis and optimization. Learning-based analysis, Edge/cloud intelligence, and blockchain-based industrial application are highly interested in describing original and…
creator: Journal of Internet Technology
date: 2021-11-23

Special Issue: Artificial Intelligence Assisted Industrial IoT for Machine Health Monitoring
type: item
description: Theme and Scope With the advent of technology, existing systems are enhanced for performance and better efficiency. Machine health monitoring or machine condition monitoring is an evolving field that helps assess the condition or health of a machine throughout its lifecycle or over a particular period of time. An artificial intelligence (AI) assisted Industrial IoT system that can offer machine health monitoring can significantly reduce the unplanned downtime and the costs associated with it. This can be achieved by proper machine condition monitoring systems that can assess and track the machine health and condition in terms of maintenance, overrunning, and efficiency. In an AI-assisted industrial IoT system, the machine is either embedded or equipped with sensors that collect real-time data on various parameters relating to machine health. This might include recording of temperature, pressure in pipes, vibration frequency, deflection, calibration etc. The data collected by these sensors are transferred to a cloud platform where the data is combined and analysed using various computational tools and analytical methods. The result of such intense calculations and processing is a set of crucial insights about the operational characteristics and condition of the industrial machinery. The above-said insights are communicated to the users or a self-repairing system in the form of charts, diagrams or signals. AI can even be used to detect a deviation from the actual set values or criteria based on big data sets and Deep Learning (DL) machine models. The machine condition monitoring solution can be implemented for a variety of industrial applications. For instance, the condition of welding and laser equipment, spindles etc. can be tracked in automobile manufacturing industries. Automatic assessment and detection of cracks, sapling, and misalignment can be carried out seamlessly without the need for physical access. Also, sophisticated machine condition monitoring systems …
creator: Journal of Internet Technology
date: 2021-11-18

Special Issue: Advances in Data Fusion for Monitoring and Change Detection in UAV
type: item
description: Theme and Scope Unmanned Aerial Vehicles (UAVs) with a variety of sensors can collect real-time, high-resolution sensory data of the environment in a secure manner. Construction, agriculture, entertainment, and transportation can all benefit from this information. The autonomy of the drone is important for many of these applications. In order to make sense of complex environments without requiring operator interference, UAVs must be equipped with accurate localization, navigation, and exploration capabilities. Users of UAV technology are often bombarded with massive quantities of data (e.g., large volumes of imagery). Hence there arises a critical need for intelligent algorithms for monitoring and controlling the data overflow by applying fusion and transforming different data into valuable and concise information. Radar, pseudo-satellite base stations, satellite and visual guidance are among the most widely used guidance systems today. However, achieving a near-ideal effect with only one of these approaches is difficult. Even the most commonly used satellite GPS system is highly susceptible to interference, despite the fact that it can acquire maximum location and real-time information and as a result the accuracy is not high enough. The widely used visual navigation system can only provide directions within a short distance, and the location of fast-moving objects is not precise enough. For redundant guidance, using multiple sensor data fusion is a better approach today. Many countries have begun to investigate the methods of applying multi-sensor data fusion technology to the autonomous landing guidance in UAV in recent years. This emerging new technology-oriented application in various domains have proliferated the technological advances in recent years in Unmanned Aerial Vehicle (UAV) and with regular revisit time in high-resolution satellite imagery to address security challenges on regional to global scale. Though UAV-based remote sensing is restricted in its…
creator: Journal of Internet Technology
date: 2021-11-08

Message: Article Processing Charge
type: item
description: From January 1st, 2022, the publication charge of each paper overseas will be USD$800. There is an additional USD$200 charge if the length of your paper is over 5,000 words. Purchasing single pdf will be US$50 and a hard copy will be US$100.
creator: Journal of Internet Technology
date: 2021-11-01

Special Issue: Smart Logistics Technologies for E-Business and Mobile Commerce
type: item
description: Theme and Scope Logistics is a vital element in improving the supply chain of any organization. It even boosts the business by increasing productivity. In any business, transportation from supplier to production unit and movement of finished products to customers depends on the untroubled logistics. In the e-commerce sector, the expectation of the customers must be fulfilled without compromising the timely, safe, secured and damage-free delivery. Therefore, smart logistics can play an important role in distributing products to customers all over the world by using technology to reach customers without delay. Usage of smart logistics can also improve the efficiency and planning of the business. Smart logistics use various technology in transportation such as smart robots, driverless vehicles and automatic systems to handle the products inside the warehouse. They use artificial intelligence for better logistics as well. Smart logistics also uses the Internet of Things (IoT) to meet the expectations and needs of customers all over the world. The E-commerce supply chain is known for its easy accessibility, safety and timely delivery of orders. Therefore, these delivery and supply chains are enhanced with computer networks that are easy to connect and track. With the help of GPS and mobile networks, the movement of goods is monitored effectively. The products are observed till delivery through geo-coding enhanced with machine learning algorithms. The main challenges in smart logistics are delay in delivery, damage of products. This can be controlled by technologies such as Smart Logistics Configurator (SLC), automation, tele tracking technology, predictive analysis and automated vehicles. IoT sensors help in tracking the delivery with smart auto-routing. Sensors get the data about the products and the data can be used to track the shipment of the product with the help of machine learning algorithms. In food logistics, they capture the data and ensure the safety of the fo…
creator: Journal of Internet Technology
date: 2021-10-06

Special Issue: Intelligent Techniques for Efficient Resource Management in IoT Networks
type: item
description: Theme and Scope The Internet of Things (IoT) has become exceptionally popular over the last few years with widespread applications. Unlike the other technologies, IoT continues to prove itself extremely valuable and inevitable across numerous sectors. As IoT adoption continues to develop, finding efficient IoT networks focusing on energy efficiency has become the emerging technological requirement. This is mainly because the new and evolving IoT applications can impose various constraints on sustainable IoT networks in terms of power resources and environmental conditions. Like smart devices, connectivity, and cloud analytics, network and device management is also an important part of the IoT architecture. In this special issue, we explore the importance of intelligent techniques in efficient IoT devices and network management, emphasizing the IoT value chain. The prime role of intelligent techniques in IoT network management is that it offers an intelligent way to automate tasks consistently increasing in complexity and frequency. As the IoT networks and the devices become more complex, they have specific needs, managing them with traditional computing facilities and limited power are extremely hard. Using intelligent techniques helps manage the IoT networks more robustly with integration towards the existing tools, basic automation, and improved quality of services. Intelligent techniques such as artificial intelligence, machine learning, and robotic process automation effectively meet the growing demands of the IoT ecosystem. It provides improved integrability and interoperability with energy efficiency measures. It further helps in five major considerations of IoT network and device management such as modular, platform-independent design, cross-vendor device compatibility, open architecture with powerful integration tools, built-in security, and intuitive and customizable IoT networks. This property ensures efficient management of the IoT devices and networks ir…
creator: Journal of Internet Technology
date: 2021-09-27

Special Issue: Selected Papers from International Conference on Innovative Computing, Intelligent Communication and Smart Electrical systems (ICSES -2021)
type: item
description: Special Issue on "Internet of Things (IoT) in sustainable electricity and smart energy systems" Theme and Scope Internet of things has proven to be a useful tool to efficiently monitor and regulate energy consumption for industry and households. The term “Smart Energy Systems” have been used to express an approach that reaches broader than the term “Smart grid”. Where Smart Grids focus primarily on the electricity sector, Smart Energy Systems take an integrated holistic focus on the inclusion of more sectors including electricity, heating, cooling, industry, buildings, transportation and allows for the identification of more achievable and affordable solutions to the transformation into future renewable and sustainable energy solutions. Sustainable development aims to meet the economic, social and environmental needs of today society without sacrificing future generations’ needs and development. Reducing the greenhouse gas emissions as well as air and water pollution from electricity generation is a key component of achieving sustainable electricity. Topics of interest for this Special Issue include, but are not limited to: IoT in efficient operation of smart substations using advanced metering infrastructure and advanced sensor infrastructure Cloud computing strategy for optimal management of smart energy systems Internet of things in time power system optimization with renewables, electric vehicles, etc. Internet of things in real time sustainable energy management system Internet of things for real-time communication in sustainable power and energy systems IoT in distribution network and renewable energy expansion planning considering demand side management IoT in smart security in power grid Internet-enabled infrastructures and services in sustainable electricity and smart energy systems IoT based architecture, implementations, and applications in sustainable electricity Instructions for Manuscripts Each paper, written in English, the maximum words number in eac…
creator: Journal of Internet Technology
date: 2021-08-11

Special Issue: Cryptography for Secure Blockchain
type: item
description: Theme and Scope Cryptographic primitives gave rise to the concept of blockchain. Blockchain underpins various cryptocurrencies and non-centralized ledger-based transactional infrastructures, which have been deployed in applications such as finance, electronic health care, legal relations, IoT, information security, signature-based smart contracts and consensus building systems. There is a need of suitable cryptographic approaches to fulfill the existing gaps of blockchain technology. For example, fulfillment of a certain equilibrium-based consensus algorithm is undoubtably considered as a new and disruptive technology that will shape the future eCommerce. On one hand, security and trust are detrimental factors for the energy demanding Proof(s) of Work (consensus). On the other hand, maintaining Cyber resilience through NP-hard problems is a challenging task. State-of-the-art of the cryptographic techniques being deployed so far in the blockchain systems needs to be investigated as these techniques are fundamental building blocks to provide security to the blockchain. A thorough Systematization of Knowledge (SoK), that offers a complete bibliographic survey of the full crypto functionalities, tools, and interactions inside the blockchain, is imperative. There is an urgent need to realize and understand the security limitations, efficacy and performance of various types of blockchain-enabled protocols. Considering the above issues, there is a wide scope to improve the robustness of blockchain and hence utilize the blockchain for various applications. This special issue invites researchers to publish selected original manuscripts to address the above concerns. Special emphasis shall be offered on “private blockchains”, “energy consumption problem blockchain”, “security resilience of blockchain during mining operations”, “investing towards a greener blockchain”, and “secure blockchain-based applications”. Finally, we encourage envisioning applicability scenario(s) propo…
creator: Journal of Internet Technology
date: 2021-07-26

Special Issue: Comparison of 5G and Emerging 6G Technology and Its Application to develop New Generation of Wireless Sensor Networks
type: item
description: Theme and Scope As the digital world becomes increasingly intelligent, automated and ubiquitous, the flow of data becomes ever more vital. Mobile wireless networks are the data highways, and in a fully connected, intelligent digital world, they will need to connect everything from people, vehicles, sensors, data, cloud resources and even robotic agents. Fifth generation (5G) wireless networks that are being released soon offer significant advances, but may be unable to meet the full connectivity demands of emerging systems.5G technologies have always been associated with trade-offs which involve latency, power consumption, deployment costs, hardware complexity, experienced throughput, end-to-end reliability, and communication resilience. Of course, AI is predicted to play a big part in any new standard and one way may be that it allows us to specify even less of what is happening, and just let individual intelligent machines fill in the gaps in our standard. The idea of auto tuning the modem in the field is a new one that may well play an important role in 6G. It would be expected that AI would be fully integrated into an intelligent network system in time for 6G that is called “distributed intelligent wireless computing”, so that the 6G network may also be defined with an expectation of deep learning. On the contrary, the market demands of 2030 and beyond will introduce new applications, with more stringent requirements (in terms of ultrahigh reliability, capacity, energy efficiency, and low latency) which may saturate the capacity of traditional technologies for wireless systems. 6G will contribute to fill this gap. This special issue envisions and emphasizes on this point that how 6G systems can be developed to address the needs of smart networks of the future. Several potential 6G use cases and attempts to provide estimates on requirements to guide design. The demands are daunting, but several promising technologies that can provide the basis for 6G systems are …
creator: Journal of Internet Technology
date: 2021-07-26

Special Issue: Securing 5G and Beyond Networks with Physical Layer Security
type: item
description: Theme and Scope Telecommunication networks are growing tremendously around the globe. To meet the increasing communication needs, 5G and beyond networks have evolved. The features of 5G and beyond networks provide immense opportunities to create intelligent and seamless fast communication services. Beyond their healthy potentials, they suffer from security issues as well. Providing resilient security services is given the highest priority while the design of these modern networks. Some of the security issues that are possible in 5G and beyond networks are eavesdropping, unauthorized access, and demolishing integrity. A few of the open security challenges in 5G and beyond networks are lightweight security, scalability, low latency, and reliability. Traditional techniques such as cryptography can be used to provide security services. But there are few issues in cryptographic methods. First, the crypto functions require complex signal processing. Second, the centralized key distribution leads to increased delay. Thus, the cryptographic methods cause communication overhead. Instead, the physical layer security utilizes the properties of the transmission channel and acquires security. The prominent advantage of physical layer security in 5G and beyond networks is the avoidance of centralized key distribution. Thus, it avoids the additional latency caused by key usage and serves with less complexity. A few of the performance metrics that are used to evaluate the efficiency of physical layer security are perfect secrecy, weak secrecy, strong secrecy, secrecy capacity, secrecy outage probability, security gap, reliability threshold, and rate interval. To tackle eavesdropping, transmission signal heterogeneity can be exploited. Much of the physical layer security is based on random-coding arguments. This code construction is an emerging research topic. The most prominent codes that are constructed to achieve physical layer security are LDPC codes, polar codes, and lattice co…
creator: Journal of Internet Technology
date: 2021-07-23

Special Issue: Deep Intelligence for Social Media Analytics
type: item
description: Theme and Scope Social Media has become a unique source of information for various activities such as finding solutions for queries, exploring the opportunities for socio-economic information sharing and thus being a critical part of the information environment providing an extraordinary outreach to all kind of the public users. It is projected that social media will continue to enable new fascinating applications and revolutionize many existing ones, provided with the continuing interest and meta-information which is ever growing, generated through it. Recent advancements in Deep Intelligence enabled the Social Media Analytics to perform the sampling of data from multimodal spatial environment to provide the good characterization of big data. This need for social media analytics emerged due to the defining characteristics of Web 2.0 which provides content generation and information dissemination in the social media in huge volumes due to the technological platforms of Internet and Mobile Technologies. From the application point of view, significant research interests have been evolved on social media due to its challenges and opportunities in the past few years and thus it has become a multidisciplinary in nature. Hence the focus of this social media research turned up towards social media analytics and intelligence. The development and evaluation of informatics tools and frameworks to collect, observe, analyze, review, and visualize social media data, generated from a target application is the major focus of social media analytics. The objective of social media analytics study is to: promoting conversations and interaction amongst online communities and extracting meaningful patterns and intelligence to assist entities in the live conversation. The goal of social media intelligence is to extract actionable data from social media with developing decision-making frameworks and providing design and solution architectural frameworks for emerging applications in the we…
creator: Journal of Internet Technology
date: 2021-07-06

Special Issue: Selected papers from 2021 the 4th International Conference on Intelligent Autonomous System- Hybrid fuzzy systems for mobile robots and their applications
type: item
description: Theme and Scope Mobile robots have become more common in commercial and industrial settings. Mobile robots have many potential applications in routine or dangerous tasks such as delivery of supplies in hospitals, cleaning of offices, and operations in a nuclear plant. Operator interface, Mobility or locomotion, Manipulators & Effectors, Programming, Sensing & Perception are the five primary Areas of Robotics. Articulated, SCARA, Delta & Cartesian Robots form the major classification in robotics. The use of robots has more than doubled in the last 20 years in most advanced economies. The top users of industrial robots in 2017 were China, Japan and South Korea, using nearly 50% of the world's stock of robots. Regarding industries, the highest usage of industrial robots in 2017 belonged to the automotive industry, which employed about 42% of all robots followed by the electrical and electronics industry at 28% approx. Onto the downsides of robots, they need oodles of electricity to run which lead to additional issues with global warming and greenhouse gas emissions. They rely on clever humans to program them for specific tasks. And, though artificial intelligence and machine learning are coming on fast, this is a limiting factor in what Robots can do. One of the fundamental and critical research areas in mobile robotics is navigation, which generally includes local navigation and global navigation. Local navigation learns or plans the local paths using the current sensory inputs without prior complete knowledge of the environment, whereas Global navigation learns or plans the global paths based on a relatively abstract and complete knowledge about the environment. Hybrid learning algorithms for fuzzy neural network (FNN) systems, which combine back-propagating learning and the genetic algorithms, are a good alternative for solving complex problems. Hybrid control architecture, which combines the advantage of both the local and global optimization, and it has received c…
creator: Journal of Internet Technology
date: 2021-07-05

Special Issue: 6G-Enabled Internet of Things: Emerging Research Advances, Prospects, and Challenges
type: item
description: Theme and Scope In this special issue, we will explore the future of 6G networks and how it influences the Internet of Things (IoT) applications that are already creating a revolution in this digital era. Followed by 5G technology, it is expected that 6G networks will significantly redefine the IoT devices and network infrastructures by enabling much faster connectivity and network services. This special issue explores emerging research advances of 6G networks for IoT technologies, their prospects, and challenges in a detailed manner. For the past few decades, IoT applications have witnessed tremendous growth, and they will continue to grow more in the coming years. Right from fitness watch to wearable health monitor, everything has got a nascent form with IoT evolution. While 6G holds the supremacy that makes more robust IoT services a reality. 6G provides faster speed and broader wave bands that form the backbone for developing the internet of smart devices. Experts believe that the 6G will become the most prominent part of the IoT networks in the next five years. Currently, IoT devices are operated via smart gadgets and smart screens. With 6G, human interaction with IoT devices will transfer from smart screens to our senses (the devices will be controlled through our body or mind). This will typically lead to the new research path called the Internet of Senses and the Internet of Reality. Through 6G innovations, IoT will experience several long-term technological translations across various sectors such as smart health, smart homes, smart mobility, smart cities, etc. 6G is obviously better in this respect and could even replace several drawbacks of the existing IoT networks. But the most significant benefits of adopting 6G-enabled IoT systems include security, privacy, complexity, and sovereignty. It is well known that IoT networks are more prone to security threats, and IoT devices can be easily hacked sometimes. How did the 6G network assure security measures a…
creator: Journal of Internet Technology
date: 2021-06-01

Special Issue: Selected Papers from EAI Chinacom 2021 - 16th EAI International Conference on Communications and Networking in China
type: item
description: Secial Issue on Intelligent based Image and Vision Computing for Future Video Surveillance Theme and Scope The video surveillance applications require massive devices with real-time computation for monitoring, recognition, analysis, and mining, leading to tremendous opportunities for the smart city and community. This challenge has brought several issues for developing intelligent methods for large scale and sustainable video data. Recently, intelligent methods have been investigated to cope with future video surveillance, that integrate a variety of technologies, including machine learning (especially deep learning), artificial intelligence, computer vision, Internet of Things, sensors, etc., to achieve video surveillance. They have shown their great potentials in real-time monitoring, intelligent processing, understanding and efficient storage of video and multimedia data. We expected that the efficiency, accuracy, predictive value, and benefits of intelligence method will greatly improve in the years to come. Thus, the future video surveillance systems should include hardware, computational models, databases, and software that optimize the acquisition, transmission, processing, storage, retrieval, analysis, and interpretation of vast volumes of image and vision data. This special issue will provide the image/video community with a forum to present new academic research and industrial development in future video surveillance. Topics of interest include, but are not limited to: QoS/QoE provisioning for video surveillance self-supervised smart video surveillance multi-intelligent and robust communications with video surveillance smart video-based modeling and optimization smart multimedia networking with video surveillance Incentive for smart video surveillance system Network analytics with smart video surveillance Video-based Intelligent medical treatment and emergency care Important Dates Submission window opens: November 25, 2021 Manuscript submission deadline: M…
creator: Journal of Internet Technology
date: 2021-05-22

Special Issue: Current Trends, Challenges, and New Enablers of E-Commerce Applications
type: item
description: Theme and Scope In the current scenario, E-commerce is one of the fastest-growing industries in an emerging economy. As the internet has become an integral part of our lives, it links billions of devices worldwide for various purposes including online marketing, banking, trading, and other types of online communication. Usually, larger enterprises can reach customers easily through their web portals and applications, but the new business enablers face difficulties to create websites because of high start-up costs and other process issues. In this context, E-commerce helps new business enablers in many ways, including global reach, low barriers to sell, product tracking, increased business revenue, and automated product delivery solutions with lesser operational cost. One of the significant advantages of E-commerce is that users can access the website anytime and anywhere with quick and immediate customer support. Currently, advanced techniques like voice search, snap and shop, subscription-based models, and chatbots assisted applications, enhance the search the experiences in E-commerce platforms. With the latest E-commerce advancements, estimates and reports show that new business enablers will achieve their goal more effectively than other modes of operation. E-commerce possesses numerous challenges in terms of technology, trust-building, Omni-channel shopping experience, retaining customers, and some security-related issues. E-commerce has its impact on productivity and inflation through increased competition, cost savings and changes in seller’s pricing behavior, and so on. Additionally, security is one of the concerns in E-commerce platforms because information like card details and personal information are stolen in some cases. To overcome these security-related issues, technological improvements like cloud computing develops very high-tech and protected path for data management. Cloud computing provides secure solutions and benefits E-commerce in many aspects…
creator: Journal of Internet Technology
date: 2021-04-28

Special Issue: Selected Papers from “7th International Conference on Applied System Innovation 2021 (ICASI 2021)”
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description: Theme and Scope So far, the novel coronavirus pneumonia has been raging around the world for more than a year. The epidemic (COVID-19) has already spread, not only changing human behavior, but also significant changes in the operation of the enterprise. However, in the post epidemic era, there are many emerging applications and business opportunities, including zero contact economy, zero border manufacturing, zero distance innovation, zero burden health, zero pollution ecology, etc. Therefore, Taiwan should make advanced deployment, such as the layout of epidemic prevention technology, strengthening the value of wisdom, the transformation and upgrading of science and technology service industry, and enhancing the industry ecology. Novel coronavirus pneumonia is a major threat to the industry in 2020. Manufacturing industry has adopted digital technology to cope with the global COVID-19 epidemic crisis, especially artificial intelligence (AI), internet of things (IoT), edge computing and analytical technology. This special issue will provide a systematic overview and state-of-the-art research in Internet Technology, Computing, IoT and Computer Engineering Technology, with a special focus on artificial intelligence (AI), internet of things (IoT), edge computing and Blockchain technologies, and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, theoretical and applied research in following topics, but not limited to: Broadband Networks Wireless Communication Telecommunication Networks Transportation Networks UAV-assisted Networks Quantum Internet Network Management Network Behavior Modeling Security for Networks and Systems Multimedia systems Electronic service systems (Internet, Intranet, Extranet, E-Commerce, E-Business, E-Learning) Cloud Computing / Fog Computing / Edge Computing Internet of Things (IoT) and Internet of Everything (Io…
creator: Journal of Internet Technology
date: 2021-04-26

Special Issue: Dependability and Quality Assurance of Internet-based Systems and Software
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description: Selected Papers from the following conferences: QRS 2021: The 21st IEEE International Conference on Software Quality, Reliability, and Security (https://qrs21.techconf.org) DSA 2021: The 8th IEEE International Conference on Dependable Systems and Their Applications (https://dsa21.techconf.org) ISSSR 2021: The 7th IEEE International Symposium on System and Software Reliability (https://isssr21.techconf.org) Theme and Scope This special issue includes multiple sections in several issues of JIT. The main focus is on dependability and quality assurance of Internet-based systems and software. The former includes security, safety, reliability, etc. and the latter focuses on testing, validation, and verification. System and software dependability are commonly defined as the probability of failure-free operation for a given period of time in a specified environment. With software being increasingly ubiquitous in our everyday lives and playing an indispensable role in the function of our society, it has changed the way we live and conduct business. This is especially the case when considering the exponential demand and growth of software-enabled systems. The overwhelming consequences of their failures have made issues of ensuring their dependability and quality more important than ever. Unfortunately, traditional techniques and tool support are insufficient to overcome the challenges posed by the complexity of Internet-based systems, the dynamic nature of the environments in which they operate, and drive for continuous deployment of new functionality. New techniques that can overcome the shortcomings of existing approaches are needed to addresses all of these factors. Questions such as the following should be addressed: How to effectively and efficiently achieve high dependability and quality of Internet-based systems and software, which may suffer from the challenges of dynamic environments and need for extreme scalability? Do systems and software with higher dependability …
creator: Journal of Internet Technology
date: 2021-04-23

Special Issue: Current Trends and the Future of Internet of Things (IOT) in Industry and Enterprise
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description: Theme and Scope Industrial and Enterprise Internet of Things (IoT) is the latest technical development that makes possible physical things in embedded computing equipment (small computers) for manual job reduction and business productivity overall. IoT's business processes can be made simple by taking advantage of different technologies from embedded systems with sensors and actuators to Internet based cloud networking services, based on unique knowledge generated from embedded devices, such as computers, vehicles as well as another device. Industrial and Enterprise Internet of Things is an innovative new technology that makes it possible for previously unrelated physical objects to connect to the internet. Further, applications designed for enterprise services and business process control can be model / updated with the ubiquitous feature of IoT. The fundamental element of enterprise services is the information/data exchange between different IoT and business processes. The Industrial and Enterprise Internet of Things (I&EIoT) facilitates various business solutions and enterprise services through data handling and analysis for fast consumer responses. Services orchestration, decision-making, recommendation, planning control, and reliability management are the inherited services provided by I&EIoT in business processes. All these business processes rely on data/information generated inside and acquired from the connected environment. IoT solutions for enterprises require better adaption to the dynamic and decentralized business processes. Industrial and Enterprise Internet of Things improves the processes' overall efficiency, facilitates innovative business models, optimizes human operations, streamlines automation, and manages data/services resources with intelligent processing and infrastructure support. The Industrial and Enterprise Internet of Things relates to linked sensors, instrumentation, and other equipment, networked in combination with industrial compute…
creator: Journal of Internet Technology
date: 2021-02-25

Special Issue: Intelligent Methods for Internet of Things
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description: Selected Papers from ICEA 2020: 2020 International Conference on Intelligent Computing and its Emerging Applications Theme and Scope Several successful applications have witnessed the unlimited possibilities of artificial intelligence (AI) in recent years. Although most companies are still at the development stage of applying AI technologies to their products, most people know that no one can resist the tendency toward AI technologies. Another promising research topic is the internet of things (IoT). Since the basic idea of IoT is to connect all the things to internet so that all the electronic equipments and appliances can then be controlled by a smart information system. It is also not hard to imagine that modern information systems make it possible for all the equipments and appliances providing us all the services we need. AI and IoT play the role of providing us applications that we need and are useful today. These two technologies are also referred to as the artificial intelligence of things (AIoT) where AI and IoT can be regarded as the software and hardware parts of such new information systems. This explains why the integration of these two technologies should be discussed, analyzed, and modeled to provide better services to us. As we know, several smart and/or intelligent methods, analytical systems, as well as security and privacy technologies have attracted the attention of researchers from a variety of disciplines. How to develop an efficient or effective method or hardware has become a promising research direction in recent years. The focus of this special issue is on all the latest technologies related to AI, IoT, and relevant technologies for the systems of IoT or AIoT. Original submissions, not under any concurrent reviews, are solicited in all areas related to AI, IoT, data analytics, and security. Authors are encouraged to submit both theoretical and practical articles to this special issue. The topics include, but not limited to, the following: T…
creator: Journal of Internet Technology
date: 2021-02-25

Special Issue: Digital Library Education and Digital Literacy from a Post COVID-19 Perspective
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description: Theme and Scope Recent advances in computer technologies have made digital literacy a powerful tool for contemporary modern education, especially from the post-COVID-19 perspective. In response to the global pandemic scenario, educational institutions worldwide have temporarily closed with no time durations. This national wide closure of the educational institutions has adversely impacted millions of learners around the world. As a result, there is an unprecedented transition towards distance learning paradigms. In this context, digital libraries and digital literacy have an obvious role to play in traditional learning paradigms by offering teachers and learners a knowledge base in various forms of media. During the time of pandemics, digital libraries greatly support young learners and students in difficulty with actual training and academic knowledge they need from a remote location. Support (Certified academic institutions), digital equipment (laptop, desktop, mobile phones, etc.), and the digital content (a digital platform to support teaching and learning process) are the three major components that form the key source of a digital library. Thus it promotes e-learning by providing knowledge access to individuals everywhere. To the core, the COVID-19 pandemic persists in its global devastation. Consequently, numerous associated challenges may arise. One important challenge is to efficiently use recently developed tools and techniques to combat its effects against educational institutions. Digital library education enables greater opportunity for users to acquire and use the knowledge available in the form of digital information. It will not only alter the intellectual accomplishments of the universities; it is likely to restructure the global higher-education practices with enhanced knowledge and learning. Further, it promotes digital literacy among the students by improving their ability to use information and communication technologies to inculcate their knowl…
creator: Journal of Internet Technology
date: 2021-02-17

Special Issue: Intelligent Wireless Systems and urgent ICT Technologies for Selected Papers from FutureICT 2021
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description: Theme and Scope In the future, ICT will play a highly important role in convergence of fast computing together with high-speed communications, and all other smart computational sciences and application and ICT also will influence the future world's various areas, including science, engineering, industry, business, law, politics, culture, medicine, and so on. However, there still exits lots of challenges in future ICT. Future ICT 2021 is intended to bring up the dissemination of state-of-the-art research in all future ICT areas, including their models, services, and novel smart applications associated with their utilization. This special issue will showcase the best submissions from the second Future ICT International Conference (Future ICT 2021) on Intelligent 5G/5GB/6G and urgent ICT technology. Topics: Topics included, but not limited to l AIoT (Artificial Intelligence of Things) and its Advance or Future Applications (AoFA) l Information Security Regarding to Novel Scenarios for Future Applications l Smart Manufacturing and AoFA l Smart Healthcare and its AoFA l Smart City and its AoFA l Smart Agriculture and its AoFA l Smart Home and its AoFA l Intelligent 5G/5GB/6G and their AoFA l Intelligent Wireless Ad-Hoc Networks and Wireless Sensor Networks and their Advance or Future Technologies l Intelligent Mobile Internet, Mobility Management and their AoFA l Intelligent Networks and Interconnection Networks for Green Computing l Security Threats, Security Policies and Secure Managements, Security Schemes, Secure Protocols, Cryptography and their AoFA l Intelligent Digital Forensic, Privacy and Trust and their AoFA l Quantum Cryptography and Future Applications l Others in the Advance or future ICT Areas. Instructions for Manuscripts Authors should prepare their manuscript according to the Instructions for Authors available from Journal of Internet Technology website. https://jit.ndhu.edu.tw/about/submissions#authorGuidelines Authors should submit papers through the …
creator: Journal of Internet Technology
date: 2021-02-08

Special Issue: Intelligent computing with internet of things learning
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description: Selective papers from “2021 2nd International Symposium on Automation, Information and Computing (ISAIC 2021)” Theme and Scope As an effective way to promote knowledge exchange and information sharing, the learning has been playing an important role in the development and progress of human society for thousands of years. Various mediums, material, tools, and methods have been provided for communication among researchers, engineer, practitioners, and policy makers. In recent years, the booming development of information technologies have made significant changes on the traditional learning ways. For instance, the communication mode is moving from offline to online; the audiences are moving from the school-aged students to all the people; the knowledge is moving from a single discipline to interdisciplinarity. Hence, how to scientifically handle with the unprecedented changes in human history is becoming an increasingly popular research hotspot in internet of things learning fields. In recent years, the intelligent computing methods becomes a feasible and promising tool to meet the challenges. It can connect a wide range of terminal computing nodes (like mobile phone, tablet computer, laptop or servers) to realize the goal of high-computing and low-latency operating environment required in internet of things learning applications. However, there are few reports about using the advanced computer methods to address learning-associated problems by far. Under this background, it is of great importance to deepen the intelligent computing methods in the internet of things learning sciences, learning analytics, and networked learning, and educational evaluation and assessment. Potential readers include the research community, scientists, engineers, policy makers and operator of the internet of things learning as well as other related fields. Any topic related to advanced intelligent computing methods as well as their applications with internet of things learning will be cons…
creator: Journal of Internet Technology
date: 2021-02-01

Special Issue: Computational Intelligence for Cognitive Internet of Things
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description: Special Issue on "Computational Intelligence for Cognitive Internet of Things" Theme and Scope Cognitive Internet of Things (CIoT) is an emerging trend where cognitive computing is used to make IoT devices intelligent and smarter. CIoT is seen as the latest IoT combined with cognitive and cooperative frameworks for success promotion and intelligence achievement. In addition, CIoT is expected to provide better insights and high-level knowledge from the massive volume of data collected by IoT to generate benefits for customers, cities, and enterprise, supported by computational intelligence, therefore considered to push the next wave of data analytics and digital skills. In order to address key technological challenges, such as producing broad sensory data, secure computing on the CIoT edge, and integrating data from multiple sources and forms, the creation of cognitive technologies is very significant. From the other hand in order to progress with the latest paradigms of computation and communication, the CIoT framework must be modified by integrating technical concepts like deep learning, the CIoT sensing method, data analytics, and cognition in providing human-like cognitive ability. CIoT is an evolving area in which cognitive computing is used to make IoT systems smarter and intelligent. Since intelligence is the capacity to think about, learn from, understand and connect with one's surroundings, - Computational intelligence (CI) mainly relies on the power of natural agents to act intelligently. It covers the theory, architecture, implementation, and creation of computational paradigms that are biologically and linguistically driven, integrating elements of learning, adaptation, evolution, and fuzzy logic. These algorithms tend to estimate the answer to complex problems and generalise them, which tends to very low-robust approaches. CI aims to complement natural intelligence in order to achieve competitive results for humans. Besides it is an effective methodology…
creator: Journal of Internet Technology
date: 2021-01-18

Special Issue: Selected Papers from “The 11th International Conference on Electronics, Communications and Networks (CECNet 2021)”
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description: Special Issue on “Sustainability in Electrical Engineering and Renewable Energy” Theme and Scope The concepts of sustainability need to be addressed along with the understanding that sustainable development is not about certificates or awards, but instead it is about the vitality of life on Earth. Rapid development of electrical engineering and information technology in the past decades brings dramatic changes to the way people think and live. Technologies that promote sustainable energy include renewable energy sources, such as hydroelectricity, solar energy, wind energy, wave power, geothermal energy, bioenergy, tidal power and also technologies designed to improve energy efficiency. Costs have fallen dramatically in recent years and continue to fall. Most of these technologies are either economically competitive or close to being so. This special issue encourages sharing new knowledge in the field of sustainable technologies and the environmental impacts. The objectives are to provide the opportunities that have the potential to greatly enhance the infrastructure and capacity for conducting and applying art, science and technology for sustainability. In line with this idea, the performance of sustainable electrical processes, systems and devices should be addressed. This special issue aims to provide a platform for excellent papers from CECNet 2021. Research articles focusing on sustainability in electrical engineering and renewable energy and related topics are welcome for this Special Issue. Sustainability of Electrical Engineering Applied Mathematics for Energy and Environment Computational Methods in Electrical and Environmental Engineering Sustainable Electric Railway Systems Electric Equipment and Techniques for Industrial Waste Treatment Mathematical Models to Correlate Biomedicine and Electrical Engineering Strategic Management for Sustainability in Electrical Engineering Energy and Energy Efficiency of Industrial Systems Renewable Energy Systems Energy H…
creator: Journal of Internet Technology
date: 2020-12-14

Special Issue: IoT in Flipped Classrooms for Modern Education
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description: Special Issue on “IoT in Flipped Classrooms for Modern Education” Theme and Scope Internet of things (IoT) in Flipped classrooms is the most creative form of modern education in which the global curriculum system takes special consideration. It explores the impact on student learning and improvement based on organized computer-assisted interactive idea mapping, as it is used as an in-class Auxiliary IoT tools in flipped classroom teaching for modern education. It adopts a quasi-experimental approach to evaluate instructional methods based on conventional lessons in the classroom in which students answer and address questions as one section of the class. In another category, the instruction in the tutorial classrooms utilizes formal collective visualization of ideas and addresses misconceptions in modern education. The advent of IoT in modern teaching strategies fulfills the requirements and priorities to understand the subject. IoT technologies have great potential for improving the educational quality for the welfare of students’ community. Hence, other than education values or inventing libraries or researching the field, the IoT has attracted enthusiastic educational professionals due to flipped classroom concepts using Augmented Reality (AR) and Virtual Reality (VR), or secure education spaces for the modern education system. The application of instructional data mining and learning processing has been continually taken into account with the advent of IoT in Flipped Classroom Models and the accelerated growth of research analyses to take advantage of learner data to optimize the process. Some data collected from the behavior of students and Flipped Classroom instructors have made it possible to perform a range of Learning Analytics algorithms, and Data Mining focused on evidence and self-sustaining learning. A significant educational challenge in the conventional lectures has been overcome by the accelerated proliferation of IoT technology, which helps the moder…
creator: Journal of Internet Technology
date: 2020-11-05

Special Issue: Chinacom 2020 - 15th EAI International Conference on Communications and Networking in China
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description: Chinacom 2020 - 15th EAI International Conference on Communications and Networking in China With the exponential growth of data traffic due to ubiquitous portable devices, machine to machine communications, and novel user-centric applications such as augmented/virtual reality, the demands for a new computing paradigm also increasing. The large pool of traditional cloud resources and services has contributed to the development of society. However, state-of-the-art cloud computing turns into a problem for communication-intensive applications, which need to meet the delay requirements. The problem becomes more intense as the huge application of the Internet of Things. Mobile Edge Computing which processes data at the nearest available nodes is emerging as very promising computation architecture to handle ever-increasing demands. It aims to enable the millions of connected mobile devices to execute the real-time applications directly at the network edge, and provides sufficient mobility support. However, there are several challenges and problems should be solved before we can enjoy the benefits of the advanced mobile edge computing architecture. For examples, the heterogeneity of kinds of devices, the deployment of services and applications, the task allocation and offloading as well as resource management. Hence, this special section will bring together leading researchers and developers to explore recent advanced technologies for mobile edge computing, especially in the wireless personal communications field, in terms of system, service and application. The topics of interest for the special issue include, but are not limited to: Topics l Advanced communication network design and implementation in mobile edge computing l Autonomous mobile edge system in wireless personal communication l Operating system and framework for mobile edge computing l Smart mobile edge services and application l Testbed, experiments, and simulations of advanced mobile edge system l Advanced …
creator: Journal of Internet Technology
date: 2020-10-16

Special Issue: IoT for Smart Learning Environments
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description: IoT for Smart Learning Environments Educational Industry has been continuous adapting to technological advancement since its inception. The access to digital space has increased huge opportunities for the learning world. Conservative Models in learning have seen both success and failure over the years. Specialized approaches with personalized factors have become one of the important learning curve for students with the implementation of smart learning environment. There is variety of smart learning cultures prevailing in the environment, every institution or organization has their own approaches, procedures, techniques and process in the creation of learning environment. Since all students have different abilities inculcating smart learning methods may bring the hidden abilities. The failure in every learning system is the focus of human centered challenges. The Internet of Things will be a perfect technology for the control of various things in a learning environment. With several IoT technologies several devices can be connected to a network on a real time basis. Utilizing the smart devices in the learning environment like Smart Television, Computing devices, Apps in mobile devices, various tracking sensors and many more can be used in the administering of smart learning. In addition, implementing IoT based security and safety measures is also an added advantage of creating a quality learning environment. Educational innovations enhanced in physical spaces shall create a faster and perfect learning curve. The use of context-aware components considering the learners point of view is an important and needed advancement for smart learning. IoT can digitally connect academicians, teachers, counselors, students in a single platform; it also serves as a tool and provides additional support based on the requirements. While integrating IoT with SLE effective user framework and interfacing methods are the important layers. Since the main objective of the integration is the…
creator: Journal of Internet Technology
date: 2020-03-31

Special Issue: Sustainable Development of Smart Cities with Edge Computing Techniques
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description: Sustainable Development of Smart Cities with Edge Computing Techniques Theme and Scope The advent of modern technologies has enabled the growth of developing smart cities with a variety of automated services. This leads to the massive deployment of smart infrastructure with advanced sensing capabilities that are networked into an automated smart city system. Moreover, the entire environment of sensing elements is typically connected across the cloud or a centralized system. However, the process of computation of data received from numerous smart devices is highly critical often results in higher latency measures. Internet of things (IoT) and cloud computing form an integral part of developing smart cities and offers numerous smart services to the end-users. Since the IoT devices are highly data-intensive and resource-constrained in nature, the use of edge computing technologies could offer significant benefits to the smart environment. Smart cities deal with various complexities including wired, wireless, mobile, sensor, optical, and other related network technologies edge computing can be an optimized solution in building a smart infrastructure with reduced bottlenecks. Besides, Edge Computing integrates technologies like IoT, Cloud Computing, and Big Data into a common platform to deliver state of the art services. Edge computing methodologies can efficiently process sensor data obtained from various smart city locations such as public or private transports, Industrial areas, healthcare, logistics, environment, and many more on a real-time basis at the device end. This data is further sent to the centralized servers or a cloud server for further storage and processing processes. Besides, with a robust edge computing model across edge networks or gateways at the device location increases the effectiveness of the devices and minimizes the network load to a great extent. There are many layer and data protocols available like Low Power Wide Area Network (LPWAN), Near …
creator: Journal of Internet Technology
date: 2020-03-19

Special Issue: “15th Asia Joint Conference on Information Security (AsiaJCIS 2020)”
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description: Theme and Scope Information security is a multidisciplinary area that addresses the development and implementation of security mechanisms in order to protect information systems with specific purposes against potential attacks or threats. The security goal can be defined for each type of attacks. The currently relevant set of security goals includes confidentiality, integrity, availability, privacy, authenticity & trustworthiness, non-repudiation, accountability and auditability. However, with the rapid global penetration of network, different models are considered to design new solutions to realizing information security (i.e., in IoT or distributed scenarios). This attracts attention to work on information security research on modern architecture of information systems. Very recently, the AI techniques have joined this area and also acted as a double-edged sword in realizing attacks and defenses. The main purpose of this special issue is to publish selected papers with high-quality from “15th Asia Joint Conference on Information Security (AsiaJCIS 2020).” In this special issue, we focus mainly on cryptography, network security, system security, and application security. We are interested in novel ideas, advanced techniques, comparative analysis of different methodologies, detailed surveys, and technical reviews on all aspects of cooperative communications and mechanisms in information security. This special issue also covers industrial applications and academic research contributions. Potential topics include but are not limited to the following: Cryptography: Applied Cryptography, Post-Quantum Cryptography, Cryptoanalysis, Lightweight Cryptography Network Security: Cloud Security, NGN Security, Home Network Security, Mobile, Ad-Hoc and Sensor Network Security, VANET Security, Network RFID Security, Wireless PAN/LAN/MAN/WAN Security, P2P Network Security, FW/IDS/IPS, DoS/DDoS Attack Countermeasures, Leakage Resilience System Security: System/Middleware/OS Security…
creator: Journal of Internet Technology
date: 2020-03-13

Special Issue: Selected Papers from “The 10th International Conference on Electronics, Communications and Networks (CECNet2020)”
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description: Special Issue: Selected Papers from “The 10th International Conference on Electronics, Communications and Networks (CECNet2020)” Theme and Scope Recent developments taken place in the era of communication throughout the globe are very attracting and remarkable. This was made possible due to the achievements and enhancements in new fields like Artificial Intelligence, Machine learning, Deep Learning, 5G and Big data analytics along with the rapid developments in electronics and information technology. With these tremendous happenings in the communication technology will definitely create a platform to fulfill our further dreams to reach our information up to Chandra Mandal also. The main purpose of this special issue is to publish selected high standard and worthy papers from “10th International Conference on Electronics, Communications and Networks (CECNet2020)” and hence to solve our dreams to come practical solutions and also to face the challenges of the present internet technology Passionists. This special issue will also provide a great media to all the academicians, Industrialists and researchers to share all their views and concepts throughout the enthusiastic technology globalists. The worthful topics in this special issue selected from “10th International Conference on Electronics, Communications and Networks (CECNet2020)” are and limited to: Artificial Intelligence Machine Learning Deep Learning Voice, Image and Video Processing Wireless Communication Networks Computing Technologies Sensor Technology Ocean & Satellite Technology IoT & Big Data Analysis Techniques. Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prosp…
creator: Journal of Internet Technology
date: 2020-03-02

Special Issue: Special Issue on “Cyber Security in Internet of Vehicles (IoV)”
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description: Special Issue on “Cyber Security in Internet of Vehicles (IoV)” Rapid urbanization and improved quality of life have drastically raised the rate of motorization across urban areas. It is estimated that more than half of the global population make use of their vehicles for day to day transportation activities. This leads to the proliferation of various concerns such as congestion, complications in vehicle parking, pollution, increased traffic rates, road accidents, etc. Among them traffic management and safety assistance are found to be the most significant challenges across today’s transportation systems; if left unaddressed may lead to serious consequences on both the environment as well as human lives. In recent years, there is an emerging trend of Intelligent Transport Systems (ITS) that controls coordinate and manage increasing traffic rates and transportation difficulties. Development in Information technology, communication systems, internet connectivity, data collection, and analysis has drastically changed the traditional transportation facilities to modern intelligent transportation systems. Intelligent Transport Systems (ITS), Vehicular ad-hoc Networks (VANET), VANET cloud (VC), and Internet of Vehicles (IoV) are some of the notable applications of modern intelligent transport systems. However, the advent of digital innovation in the modern transportation system does not guarantee the future of security and reliability factors; indeed it needs more sustainable developments. Internet of Vehicles (IoV) is the advanced evolution of conventional VANET systems, which consists of a network of entities such as vehicles, pedestrians, car parks, roads and city infrastructures that provides real-time communication between them. In an IoV system communication between various entities take place through three different means such as Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), and Vehicle to Pedestrian (V2P). Since the IoV system act as a common infrastr…
creator: Journal of Internet Technology
date: 2020-02-27

Special Issue: “Deep learning algorithms for enhancing security in Cloud Service”
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description: Call for Papers “Deep learning algorithms for enhancing security in Cloud Service” Purpose: Deep learning is one of the major disciplines within Artificial Intelligence (AI) that uses complex algorithms to make computer understand any task as what a human does. Neural networks are the base platform on top of which deep learning algorithms are developed. It can be easily said that most of the sophisticated and AI based systems use deep learning algorithms for feature extraction, understanding, classification and prediction. With the growing volumes of digital data which is available courtesy of several social media platforms, deep learning can serve as a vital catalyst in discovering new patterns and trends from these digital data. Deep learning concepts have been applied across a wide range of business and commercial activities such as medicine, e-commerce, stock market analysis and predictions, e-banking transactions, retail promotions etc. Deep learning can be applied in any space of digital finance and marketing. However, a sufficient amount of “training” data should be available. The ease and scalable aspects of deep learning principles make it an instantaneous choice for adapting into any domain for making decisions. Security in Cloud Service is a multidisciplinary field of study concentrating on the structure of PC innovation and, specifically, the cooperation between the clients and PCs. While at first worried about PCs, Cloud has since extended to cover practically all types of data innovation plan. The challenge especially when deep learning principles are applied for cloud lies with the fact that these stimulated inputs should be represented as suitable inputs to the deep learning based classifier and the mapping functions should be clearly defined and encoded based on these inputs. The success of deep learning based solutions for enhancing security in Cloud Service is hugely reliant on the accuracy and decision making capabilities. This special issue on D…
creator: Journal of Internet Technology
date: 2019-12-11

Special Issue: Selected Papers from “The 2nd International Conference on Sensor Networks and Signal Processing (SNSP 2019)”
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description: Theme and Scope Recent progress in virtualization, networking and data processing unleashed the potential of the technological advancement in multiple areas like Distributed Algorithms, Sensor networks, Big Data, Cloud Computing, etc. In this modern era, development of networking technologies, protocols and newer algorithms becoming essential factors for getting the newer technologies like Cloud Computing, Internet of Things (IoT), Data Analytics, Machine Learnings become matured so that it can be easily adopted across the globe. These newer technologies face various challenges to adopt in the real-time environment. The various researches are being carried out by R&D organizations and academics researchers. These research works help in addressing multiple aspects of real-time customer issues. These kinds of multi-disciplinary works should be helping in shaping up the technologies in the right direction and help the customers to adopt them without any issues. This special issue is focused to provide a systematic overview and state-of-the-art research in Distributed Algorithms, Security and Privacy, Internet Technology, Cloud Computing, IoT, Big Data with a special focus on Sensor Networks, Signal Processing and Networking technologies, and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, theoretical and applied research in the following topics, but not limited to: Sensor and Actuator Networks Wireless Networks Networking and Protocols Security and Privacy Wireless Communications Distributed Algorithms Internet of Things (IoT) Cloud Computing System Modeling and Performance Analysis Fault tolerance/diagnostics Information Management Data Mining and Analysis Embedded Systems Design Signal Theory Signal and Image Processing Detection and Estimation Spectral Analysis Software Developments Pattern Recognition Data Processing Remote Sensin…
creator: Journal of Internet Technology
date: 2019-09-17

Special Issue: Selected Papers From “8th IEEE International Conference on Innovation, Communication and Engineering 2019 (IEEE ICICE 2019)”
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description: THEME Engineering and Design Innovations are both academic and practical engineering fields that involve systematic technological materialization through scientific principles and engineering designs. Technological innovation by Electrical/Mechanical Engineering includes Information Technology (IT)-based Intelligent Electrical/Mechanical Systems, Electronics, Mechanics, Human-Computer Interaction (HCI) and Design Innovations. IT-based Intelligent Systems, which implant intelligence to systems, is an interdisciplinary area combining conventional electrical/mechanical technology and new information technology. The main goal of this special collection is to publish selected papers from “8th IEEE International Conference on Innovation, Communication and Engineering 2019 (IEEE ICICE 2019)”. The ultimate aim is to discover new scientific knowledge relevant to IT-based Intelligent Electrical/Mechanical Systems, Mechanics, Human-Computer Interaction (HCI) and Design Innovations. We invite investigators interested in systems design innovations to contribute their original research articles to this special collection. The potential topics include (but are not limited to): • Multimedia systems • Network Operating System (NOS) • Smart electromechanical system analysis and design • Computer-aided methods for mechanical design procedure and manufacture. • Internet Technology on mechanical system innovation. • Various computational topics of methodologies and procedures of design. • Machine diagnostics & reliability • Smart Sensors, actuators, and materials • Intelligent mechanical manufacturing system • Human-Computer Interaction (HCI). • Virtual, Augmented and Mixed Reality • Cross-Cultural Design • Social Computing and Social Media • Design, User Experience and Usability • Learning and Collaboration Technologies • Augmented Cognition • HCI in Games • HCI for Cybersecurity, privacy and Trust • Human Aspects of IT for the Aged Population • Distributed, Ambient and Pervasive Inter…
creator: Journal of Internet Technology
date: 2019-09-10

Special Issue: “Social Issues Regarding Recent Advances in Internet Applications” (WiCON 2019)
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description: Theme and Scope Recent advances on Internet applications have unleashed considerable effort to our daily life and rise amounts of social issues, such as commercial deviance, infringement, social network problems, and education matters. The effort is involved in many different fields of social science; in particular, sociology, jurisprudence, politics, economics, and management. Therefore, it is necessary to rely on professional knowledge and expertise to recognize the implications of shifts between new Internet applications and our society. This special issue is made for practitioners to contribute with their original research and review papers responding to the requirements of interdisciplinary studies, which provide substantive responses to Internet-related social issues arising in connection with Internet applications. Consequently, our significant achievements are (i) understanding changes toward Internet usages and (ii) predicting the coming tasks in our society. There is an extreme demand to reflect the advanced ideas of Internet usages in different areas. As industrial and academy move on to exploit the technologies, more people will be involved in the benefits and drawbacks of the emerging technology. Hence, significant challenges regarding the researches of the impacts brought by information technology remained. Topics appropriate for this special issue include, but are not limited to:  Commercial deviance and blockchain  Data protection and security matters  E commerce and “micro business”  Finical deviance and fintech  Finical deviance and P2P lending  Intellectual property matters regarding recent advances on Internet applications  Issues regarding applications of e service  New-emerging issues in e management  New-emerging social network problems  Political anticipations and Internet usages  Recent advances to applications of education matters Instructions for Manuscripts Selected Manuscripts must be prepared according to the standards for su…
creator: Journal of Internet Technology
date: 2019-07-03

Message: Supporting Open Access
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description: Supporting Open Access There is an ever increasing need for rapid access to new scientific findings, and an accelerating pace of discoveries in internet technology. There is also growing demand for open access and we work hard to provide that choice for scientists and researchers worldwide. We have published articles since 2018 that are immediately free to access and download.
creator: Journal of Internet Technology
date: 2019-07-03

Special Issue: Advanced Artificial Intelligence for Industrial Internet of Things
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description: Themes and Scopes Smart devices, sensors, and machines generate a wealth of valuable data with suitable connectivity from Industrial Internet of Things (IIoT) across manufacturing environments or supply chain. Artificial intelligence (AI) technologies (e.g. deep learning, reinforcement learning, machine vision, etc.) can create new value chain through gathering, processing, and learning these data. The integration of AI and IIoT have an exciting promise. Machine learning-powered rapid testing during the industrial design process can enable greater program and cost certainty than previously realizable. Data analytics tools can now not only predict when and where machinery and equipment is going to need maintenance with a high degree of accuracy, but act on that need. Machine vision and deep learning help the self-drive vehicle to enhance accuracy of recognizing traffic signs. Meanwhile, connected equipment across the supply-chain provides real time data which can be utilized by machine learning and predictive analytics technologies. There are still some challenges, which hinder the large-scale application. Specially, some of these data sources are structured (such as sensor signals), some are semi-structured (such as records of manual operations), and some are completely unstructured (such as image files). However, most of the unstructured data is either unused or used only for very specific, tactical purposes. lots of industrial data is generally not utilized strategically, and is poor interoperability across incompatible technologies, systems, and data types, so it is unable to effectively extract value from them. Furthermore, the transmission of mass industrial data with different priorities also is a hard job for industrial heterogeneous networks, AI-enabled analytic technologies will help to optimize networks and realize intelligent data transmission. In addition, AI-powered applications usually run on the remote cloud, and the service delay is uncontrollable, b…
creator: Journal of Internet Technology
date: 2019-06-19

Special Issue: Selected manuscripts from “IEEE International Conference on Consumer Electronics – Taiwan, 2019”
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description: Theme and Scope The next generation communication and netwok technologies, such as 5G and SDN, continue to emerge to support massive users connectivity and multigigabits downloading speeds. These new communication technologies are required to support ultra-reliable and low-latency communications. Moreover, to cope with advances of machine learning (ML), artificial intelligence (AI) technologies are raging around the world, especially deep learning (DL), and this trend has proved the values of these technologies in a wide range of applications. The development further reveals that AI technologies will combine with sensors so that traditional sensors can be more intelligent to respond differently to different needs This special issue will provide a systematic overview and state-of-the-art research in Next Generation Communications and Computer Networks, Intelligence Sensors and Machine Learning Technology, with a special focus on 5G, Intelligence Sensors and Artificial Intelligence technologies, and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, theoretical and applied research in following topics, but not limited to: -Sampling and Pre-processing for Big Data -Computing on Network Edge -Modeling and Algorithms for Big Data Analytics and Data Mining -Knowledge Mining from Big data -Internet of Things (IoT) -Mobile Computing -Network Security -Big Data in Sensory Systems -Green Solutions for Communications Technologies -Signal processing and application -Image and video processing -Speech and Video Processing -Natural Language Processing -Vision and Speech Perception -Music Modelling, Classification and Streaming -Data Mining and Web Mining Algorithms -Consumer Electronic Industrial and Scientific Applications -Social Sciences Instructions for Manuscripts Each paper, written in English, should be presented within an 8,000 word limit, …
creator: Journal of Internet Technology
date: 2019-06-11

Special Issue: “The 9th International Conference on Electronics, Communications and Networks (CECNet 2019)”
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description: Theme and Scope Rapid development of electronic and information technology in the past decades brings dramatic changes to the way people think and live. From traditional telecommunication networks to the most up-to-date 5G mobile communication network, the endless progress of communication technology has greatly boosted information exchange and transmission, and thus extends and strengthens the connections between different parts of the world. Meanwhile, recent development of computer science and technology provides more advanced and powerful tools to handle the explosively growing data and information. This special issue aims to provide a platform for excellent papers and outstanding researches from CECNet 2019. Selected papers should be substantially extended at least 40% compared to its conference version. Topics of interest include but not limited to: Internet and Internet of Thing Information Theory and Coding Signal and Image Processing Satellite,Space and Wireless Communications Wireless and Mobile Networking Data Mining, Machine Learning and Deep Learning Mobile Computing Systems Computer Security and Privacy Computer Networks and Data Communications Wireless Sensor Networks Design, Analysis and Tools for Integrated Circuits and Systems Wireless Systems on Industry 4.0 Frequency Management on Wireless Sensor Networks Instructions for Manuscripts Selected papers from “The 9th International Conference on Electronics, Communications and Networks (CECNet 2019)” Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.m…
creator: Journal of Internet Technology
date: 2019-04-09

Special Issue: Edge Computing – The New Frontier of IoT and 5G Applications
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description: The Internet of Things (IoT) has grown explosively in recent years. Ranging from sensors to smart phones, these devices record the status of the environment and behaviors of livings. The big data generated by these devices and then gathered together via the Internet support a new way for people to understand our world. We learn more about so many things than in the old days. Data-driven decision-making systems are significantly improved. In many scenarios, new IoT innovative applications have been emerged and piece-by-piece changed our daily lives, e.g., smart city, smart building, intelligent transportation, location-based services, vehicle networks, and industry 4.0. Meanwhile, the wide range of IoT applications issues many scientific, engineering, and social challenges, including IT infrastructure, hardware architecture, network design, software framework, communication protocol, data (pre)processing in devices, data communication in the network, data storage/processing/analysis in data center, scenario modeling and visualization, security of device/network/system, implementation practice, hybrid system integration, reliability, availability, privacy, social justice/fairness, and so on. The special issue solicits recent advances in IoT technology and applications. This issue aims to collect contributions made by leading-edge researchers from academia and industry to demonstrate how IoT-enabled intelligent service are created, integration of IoT and other hybrid systems, experience sharing and discussions regarding assessment, planning, and utilization of IoT technology, and so on. Theoretical analysis, technology development, experiment results, and non-technological discussions to this rapidly evolving and growing area are all welcome. Hence, this issue invites papers to the following topics, but never exclusive: Topics IoT Frameworks Communications of IoT IoT and Big Data IoT and AI IoT Security and Privacy IoT Applications IoT Standards IoT Practices Case Stud…
creator: Journal of Internet Technology
date: 2019-03-28

Special Issue: “14th EAI International Conference on Communications and Networking in China (Chinacom 2019)”
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description: Theme and Scope The recently emerged new computing paradigms, such as Edge / Fog computing, try to distribute services away from centralized data centers by exploiting the concept of cloudlets. To satisfy the ever-increasing demand for cloud services from emerging applications such as Internet-of-Things (IoT) and Blockchains, researchers are encouraged to use services located at the edge of the network rather than large-centralized cloud services. While the Edge / Fog services that are utilized to offload computation are usually closer to a user compared with the centralized cloud services. Edge / Fog computing, on one hand, brings services closer to users, on the other hand, requires extension to current service computing models. And the use of edge and fog computing paradigms brings additional difficulties and challenges in terms of resource allocation, performance optimization, energy cost, link switch, and so on. Moreover, the use of these new computing paradigms also brings additional challenges in security and privacy issues. Therefore, it becomes a necessity to integrate the Edge / Fog computing techniques into the traditional service computing paradigm. This special issue will provide a systematic overview and state-of-the-art research in Internet Technology, Computing, IoT and Computer Engineering Technology, with a special focus on Edge / Fog computing and Blockchain technologies, and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, theoretical and applied research in following topics, but not limited to: Service discovery and recommendation in Edge / Fog Scheduling of Edge / Fog services Security and privacy issues in Edge / Fog computing Resource planning, monitoring, management in Edge / Fog Energy-efficient models in Edge / Fog environment Link switch in Edge / Fog computing Light-weight service-oriented applications f…
creator: Journal of Internet Technology
date: 2019-03-19

Special Issue: “Emerging Techniques and Applications for 5G Networks and IoT Systems”
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description: Themes and Scopes During the past decades, technologies of mobile Internet, wireless communication and Internet of Things (IoTs) have been dramatically growing. Different kinds of high-tech products are released to the market, consequentially leading us to a new living style. Applications of these technologies such as self-driving vehicles, healthcare monitoring, and live shows are quickly developed everywhere in the world. But these technologies are not completely perfect and mature. Related research has been conducted worldwide. They also pose a much higher security risk than the WiFi and 2G/3G/4G networks did. For example, in 5G networks, different network slices may share the same computer and network resources. Due to security reason, how to isolate tasks that belong to different network slices. When data sent by these tasks go through the same serving gateway, how to individually isolate one’s traffic from others’. Otherwise, data leakage will be serious. Also, when a self-driving car is hacked, it will endanger passengers and roadside people. To safely protect and friendly serve users of these systems, new techniques are required and need to be emergently developed. Big data analysis, deep learning and some other AI techniques are considered the best approaches to discover new knowledge and methods for problem solving. Of course, if these techniques are applied to uncover and detect malicious behaviors coming from Internet, the accuracy will be higher than before. Perhaps, new attacks can also be found. For achieving network slicing, NFV and SDN, OS functions, like process management and scheduling, memory partition, inter-process communication, RPC/RMI and file system have to be modified to make sure tasks of a network slice and virtualized functions can be performed based on ACID principles. On the other hand, the 13th International Conference on Broad-Band Wireless Computing, Communication and Applications and the 13th International Conference on P2P, Para…
creator: Journal of Internet Technology
date: 2018-08-21

Special Issue: Selected Papers from “2018 International Conference on Computational Intelligence and Computing Research (ICCIC)”
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description: Special Issue on Selected Papers from “2018 International Conference on Computational Intelligence and Computing Research (ICCIC)” Special Issue : Mobile, Hybrid and heterogeneous networks for cyber physical systems Theme and Scope With the expanding accessibility of mobile phones and information produced by individuals, logical instruments and reproductions, today, comprehending huge numbers of our most critical logical and designing issues requires intense arrangements giving the entire anchor to process information and administrations from the versatile clients to the cloud infrastructure, which should likewise incorporate heterogeneous clouds to give accessibility, adaptability, and data privacy. These arrangements are increasingly essential with the expanding cooperative energies between cloud computing and information concentrated applications, which require cyber physical systems that must be ground-breaking in a wide sense to fulfil the administrations and information preparing prerequisites from a huge number of clients, however in the meantime need to give strong network and adaptivity utilities to cope with near future mobile applications. This special issue also aims to foster a research community committed to advancing research and education at the confluence of mobile, hybrid and heterogeneous networks for cyber physical systems Potential topics include but are not limited to the following: -Integration solutions for mobile, hybrid, and heterogeneous clouds cyber physical systems. -Management of massive data using mobile and heterogeneous clouds. -Simulation, emulation, and performance evaluation for real-time cyber physical systems. -Resource management and scheduling in mobile, hybrid, and heterogeneous clouds. -New programming models as well as machine and application abstractions. -Adaptive software for cloud computing and data systems. -Computing and communication models for real-time cyber-physical co-design. -Big Data applications and mobile clo…
creator: Journal of Internet Technology
date: 2018-10-11

Special Issue: Selected papers from “2018 International Conference on Recent Advancements in Computing, IoT and Computer Engineering Technology (CICET18)”
type: item
description: Theme and Scope Recent progress in deep learning has unleashed some of the promise of artificial intelligence, moving it from the realm of toy applications to a powerful tool that can be leveraged across a wide number of industries. In this new era, analytics is becoming a competitive necessity and key for many applications, such as internet technology, mobile applications, web application of social media, Internet of Things (IoT), computing, and computer engineering. There are many challenges of applying/analyzing such technologies, with the most often discussed being growing data volumes, velocity of data, and variety of data which are placing increased demands on industry. Powered by the integration of new technologies/applications in internet technology, computing, IoT and computer engineering, deep learning and artificial intelligence technologies provide fundamentally new insights and opportunities for businesses, industries and academia. Therefore, research in computational technologies, platforms, and tools offers adaptive mechanisms that will provide more efficient and effective solutions to real industrial problems. It is expected that such research will help in the development of policies, strategies, and methodologies as well as the shaping of organizational behaviors towards the adoption of these new technologies. This special issue will provide a systematic overview and state-of-the-art research in Internet Technology, Computing, IoT and Computer Engineering Technology, with a special focus on Deep Learning and Artificial Intelligence technologies, and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, theoretical and applied research in following topics, but not limited to: Intelligent Systems Computational Intelligence Business Intelligence and Business Analytics Internet of Things and Internet Technology Data Mining, …
creator: Journal of Internet Technology
date: 2018-09-12

Special Issue: "Machine Learning Algorithms for Self-organizing Peer-to-Peer (P2P) Network"
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description: Introduction/Call for Papers In recent years, the internet has been growing rapidly as new services have been implemented in the market every day. However, network traffic generated from the network protocols and applications needs to be categorized which is considered as a critical task in day-to-day network management. Especially, Peer-to-Peer (P2P) network has the largest share of the bandwidth. This large amount of bandwidth has improved the prominence of network traffic engineering. The applications of P2P is growing dramatically, which results in many complex issues such as network congestion and traffic hindrance. More commonly, the effective process of a peer-to-peer network depends on the flexibility of its peer’s communications. However, NATs and traffic filtering have restrict the direct connections between peers on the internet. Modern P2P networks use various methods to solve the issue of restricted connectivity on the Internet. One interesting development is that various overlay networks now support multiple communication protocols to improve resilience and counteract service degradation. On the other hand, various self-reorganization algorithms are recently identified based on the machine learning algorithms to improve the performance, scalability, resilience and reduce the communication cost thereby providing the basis of an efficient neighbor selection scheme for P2P overlays. Moreover, the benefit of reorganization is often lower than the cost incurred in probing and adapting the overlay. Indicative Topics/Areas This special issue focus on various machine learning based self-reorganization algorithms to reduce the network traffic, cost and improve the performance, scalability, resilience in P2P networks. The topics include, but not limited to, the following: Machine learning for resource allocation in P2P networks Machine learning for neighbor selection in P2P networks Machine learning for self-organizing P2P networks Machine learning for processin…
creator: Journal of Internet Technology
date: 2018-08-31

Special Issue: Selected papers from “2018 International Conference on Innovation, Communication and Engineering (ICICE 2018)”
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description: THEME Engineering and Design Innovations are both academic and practical engineering fields that involve systematic technological materialization through scientific principles and engineering designs. Technological innovation by Electrical/Mechanical Engineering includes Information Technology (IT)-based Intelligent Electrical/Mechanical Systems, Electronics, Mechanics, Human-Computer Interaction (HCI) and Design Innovations. IT-based Intelligent Systems, which implant intelligence to systems, is an interdisciplinary area combining conventional electrical/mechanical technology and new information technology. The main goal of this special collection is to publish selected papers from “2018 International Conference on Innovation, Communication and Engineering (ICICE 2018)”. The ultimate aim is to discover new scientific knowledge relevant to IT-based Intelligent Electrical/Mechanical Systems, Mechanics, Human-Computer Interaction (HCI) and Design Innovations. We invite investigators interested in systems design innovations to contribute their original research articles to this special collection. The potential topics include (but are not limited to): • Multimedia systems • Network Operating System (NOS) • Smart electromechanical system analysis and design • Computer-aided methods for mechanical design procedure and manufacture. • Internet Technology on mechanical system innovation. • Various computational topics of methodologies and procedures of design. • Machine diagnostics & reliability • Smart Sensors, actuators, and materials • Intelligent mechanical manufacturing system • Human-Computer Interaction (HCI). • Virtual, Augmented and Mixed Reality • Cross-Cultural Design • Social Computing and Social Media • Design, User Experience and Usability • Learning and Collaboration Technologies • Augmented Cognition • HCI in Games • HCI for Cybersecurity, privacy and Trust • Human Aspects of IT for the Aged Population • Distributed, Ambient and Pervasive Interactions • Univ…
creator: Journal of Internet Technology
date: 2018-08-30

Message: 2017 SCIE Impact Factor
type: item
creator: Journal of Internet Technology
date: 2018-07-04

Special Issue: Selected Papers from “COMPUTATIONAL APPROACHES IN CLOUD BASED IoT”.
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description: THEME Internet of things is the direct network communication to the object without the help of the human to computer and human to human interaction systems. This will be performed in a smart way based on the machine to machine communication system. Cloud computing is a service which offers the storage on the internet. The cloud-based IoT consists of three models namely things, gateway and cloud network. Things referred to as the object and it makes the machine to machine communication. Network gateway uses the open source platform to work the performance and the most important applications are android, arduino and raspberry pi. This will be connected between the things and cloud computing. Network gateway connected through the sensor and network interfaces for more real-time applications. Usage of internet is increasing around the world and it produces the big data analytics. Storing the data requires cloud computing technology. Computational approaches included in the cloud-based IoT are the machine to machine communication, big data, cloud storage, data analytics and priority action. It is embedded with electronic equipment’s, sensors, and computer software and internet connection. The applications included in the computational approaches in cloud-based IoT are healthcare applications, data acquisition and agricultural applications. The convergence of IoT and cloud computing is used for data collection and file sharing approaches. IoT is referred to as boss and cloud computing is referred to as the company. This cloud computing based IoT performed in two ways such as high-performance computing and high throughput computing. The combination of high performance and high throughput computing produces the parallelism distributed computing. The parameters included for performance analysis such as throughput, efficiency, reliability and scalability used to perform in future for huge demand computing. This special issue aims to gather latest research and development achi…
creator: Journal of Internet Technology
date: 2018-07-10

Special Issue: Selected papers from "The 2018 IEEE Conference on Dependable and Secure Computing (DSC 2018)"
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description: The IEEE Conference on Dependable and Secure Computing (DSC) solicits papers, posters, practices, and experiences for presenting innovative research results, problem solutions, and new challenges in the field of dependable and secure computing. The whole spectrum of IT systems and application areas, including hardware design and software systems, with stringent relevant to dependability and security concerns are of interest to DSC. This year, the 2018 IEEE Conference on Dependable and Secure Computing (DSC 2018) will be held in Kaohsiung, Taiwan on 10-13 December, 2018. The aim of DSC 2018 is to provide a leading edge forum to foster interaction between researchers and developers with the network and system security communities, and to give attendees an opportunity to interact with experts in academia, industry, and governments. More information about the conference can be found at its website http://dsc2018.nsysu.edu.tw/. The main goal of this special issue is to publish outstanding researches from IEEE DSC 2018. We plan to select the papers relevant to dependable and secure computing from the accepted papers based on the reviews (comments and scores) and the presentations during the conferences. Each selected paper must be substantially extended, with at least 40% difference from its conference version. Topics of interest include but are not limited to: -Advanced Persistent Threat (APT) -Network Attack and Defense Techniques -Botnet and Intrusion Detection -Cryptographic Methods and Toolkits -Cyber attacks -Software Vulnerabilities and Security -Database Security and Privacy -Embedded Systems and IoT Devices -Mobile and Cloud Computing Security -AI and Big Data Analysis for Security -Malware Mutation -Deep Learning for Attack and Defense -Block Chain and Finance Security -Security Hardware and Circuits -Authentication and Authorization -Soft-Error Analysis and Models -CAD Algorithms and Tools -Electronic Circuits and Syetms -Fault-Tolerance and Reliability -Indust…
creator: Journal of Internet Technology
date: 2018-03-30

Special Issue: “International Conference on the Development and Application of Big Data and Enterprise Resource Management, 2018 (ICBDERM)”
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description: Theme and Scope The International Conference on the Development and Application of Big Data and Enterprise Resource Management, 2018 (ICBDERM) solicits papers, practices, and experiences for presenting innovative applications, research results, problem solutions, and new challenges in the field of big data and enterprise resource management. This year, ICBDERM is held at National Dong Hwa University, Hualien, Taiwan, on 17 March, 2018. The aim of ICBDERM is to serve as an academic forum for reporting recent advances on development and application of big data and enterprise resource management research, and to give attendees an opportunity to interact with experts in academia, industry, and governments. More information about the conference can be found at its website http://conf.cerps.org.tw/. The main goal of this special issue is to publish outstanding researches from ICBDERM. We plan to select the papers relevant to big data and enterprise resource management from the accepted papers based on the reviews (comments and scores) and the presentations during the conferences. Each selected paper must be substantially extended, with at least 40% difference from its conference version. Topics of interest include but are not limited to: - Big Data analysis, Data Mining and Application - Strategies of E-business, Integration of Business Strategy and Information Technology - Business Process Planning, Integration and Restructuring, Organizational Reform and Integration Management - Knowledge Management and Innovation - E-commerce and Other Developments and Applications of E-business - The development of E-finance and IFRS - Cloud Computing - Other E-business Topics Instructions for Manuscripts Each paper, written in English, should be no more than 5000 Words, including references and illustrations. More information can be found at http://jit.niu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines. All submitted papers will be reviewed and selected based on their or…
creator: Journal of Internet Technology
date: 2018-03-21

Special Issue: Cyber Security and Cloud Computing
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description: Theme and Scope With the development of computer and internet technology, the field of cyber security is of growing importance due to the increasing reliance on computer systems and the Internet, wireless networks such as Bluetooth and Wi-Fi, the growth of "smart" devices, including smartphones, televisions and tiny devices as part of the Internet of Things. At present, the research of cyber security has been gradually expanded from the entity authentication, secure data transmission, secure data sharing and so on. To address security threats to network infrastructure devices and sensitive data, many different solutions capable of providing a suitable degree of security have been proposed. However, such solutions have not been properly designed to address important aspects such as computational costs, scalability, energy efficiency and resource usage. In addition, cloud computing has been highly deployed in cyberspace. Not only efficiently playing the role of storing data, but also ensuring the secure data sharing. How to protect the data in the cloud is an urgent problem to be solved. We solicit original contributions on novel threats, defenses and security, information, tools, and applications in cloud-based cyberspace. We also seek contributions motivated by taking real-world security and deployment problems and theoretical works that have clear intention for practical applications in cyberspace. To meet the requirements of data security in the complex and changeable cyber space, the innovation of data processing technology and data security protection schemes should be efficient and safe. This special issue seeks to bring researchers, scholars and participators in cyber security and cloud information security area to address challenges and present effective solutions over cyberspace. Topics include but are not limited to: Secure data transmission frameworks for cyberspace Security, privacy, and fault tolerance in cyberspace and cloud computing Intelligent cyb…
creator: Journal of Internet Technology
date: 2018-01-24

Special Issue: Selected papers from IoTaas 2017
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description: Theme and Scope The era of smart homes and cities through the Internet of Things (IoT) has arrived, but it has been challenging to make the IoT with intelligence to achieve various IoT applications. A key question is how we make the most of IoT for all stakeholders, including platform providers, IoT application developers, end-users, large and small organizations (such as city councils, enterprises) that wish to provide better services, and manufacturers of smart devices. The amount of smart devices immersed in everyday life, from manufacturing to clothing, is growing every day in terms of power, processing and network connectivity. The sheer size and variety of contextual data that they produce, along with the actions they can take on their environment, is enormous. It remains to be answered how all this potential will come to bear; The 3rd EAI International Conference on IoT as a Service (IoTaas 2017) will be held in Taichung, Taiwan on 20-21 September, 2017. It brought together the academic and industrial researchers working on different aspects to exchange ideas, and explore new research directions for addressing the challenges in IoT as a Service. The main goal of this special issue is to provide an opportunity for researchers and practitioners to contribute with original research and review articles. It will publish outstanding papers selected from those accepted by and presented in IoTaas 2017. Each selected paper must be substantially extended, with at least 40% of difference from its conference version. The special issue on "IoTaas 2017" is estimated to be published in the 3rd or 4th Quarter of 2019. Topics appropriate for this special issue include, but are not limited to: -Cloud computing and big data techniques and applications for the IoT -Data mining applications for the IoT -Soft computing techniques and applications for the IoT -Metaheuristic algorithms for the IoT and M2M -IoT on energy management -Green mechanisms for the IoT -Data communication, c…
creator: Journal of Internet Technology
date: 2017-12-01

Special Issue: “Based Cooperative Communications and Mechanisms for Wireless Sensor Networks”
type: item
description: Theme and Scope Wireless sensor networks (WSNs) are composed of sensor nodes and sinks. Sensor nodes have the capability of self-healing and self-organizing. They are decentralized and distributed in nature where communication takes place via multi-hop intermediate nodes. The main objective of a sensor node is to collect information from its surrounding environment and transmit it to the sink. WSNs have many applications and are used in scenarios such as detecting climate change, monitoring environments and habitats, and various other surveillance and military applications. Mostly sensor nodes are used in such areas where wired networks are impossible to be deployed. WSNs are deployed in physical harsh and hostile environments where nodes are always exposed to physical security risks damage. In this special issue, we concentrate mainly on cooperative communication and advanced related mechanisms for wireless sensor network. We are interested in novel ideas, advanced techniques, comparative analysis of different methodologies, detailed surveys, and technical reviews on all aspects of cooperative communications and mechanisms in wireless sensor networks. This special issue covers industrial applications and academic research contributions. Potential topics include but are not limited to the following:  Green wireless sensor networks architectures and communication protocols  Data gathering, fusion, and dissemination in WSNs  Multimedia over sensor networks  Smart cities and smart environment  Cooperative communication  Relaying techniques Keywords: WSNs, Mobile Computing and communication Instructions for Manuscripts Each paper, written in English, should be no more than 5000 Words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines . P…
creator: Journal of Internet Technology
date: 2017-09-04

Message: Extra! Extra! Congratulations to the Journal of Internet Technology!
type: item
description: Dear All, We are delighted to inform our authors that as announced by Thomson Reuters, the 2016 Impact Factor of the Journal of Internet Technology has increased from 0.533 to 1.930*! JIT would like to congratulate and express gratitude to all the authors who have been part of this success, by publishing their best work in the Journal of Internet Technology. Thank you for your contributions. On behalf of the Editors of the Journal of Internet Technology, we look forward to your continued contributions to the Journal. Sincerely, Prof. Han-Chieh Chao Editor-in-Chief Journal of Internet Technology *Impact Factor: 2016: 1.930 © Thomson Reuters Journal Citation Reports 2017
creator: Journal of Internet Technology
date: 2017-06-16

Special Issue: “Intelligent Service for Internet of Things: Theory and Applications”
type: item
description: Call for Papers Journal of Internet Technology (http://jit.ndhu.edu.tw/, Indexed by SCI-E) Special Issue on “Intelligent Service for Internet of Things: Theory and Applications” Theme and Scope Recent developments in theory and applications of distributed and wireless/wired sensor and actuator networks are vital for Internet of Things. Sensor networks is an interdisciplinary field, including many fields, such as wireless networks and communications, signal processing, embedded systems, information management, and Intelligent Service. The Internet of Things (IoT) is the interconnection of uniquely identifiable computing devices, systems, and services within all the possible existing networking infrastructure. Typically, IoT is expected to offer advanced connectivity, which goes beyond machine-to-machine sensor communications and covers a variety of protocols, domains, and applications. Here we focus on the related theory and applications about sensor intelligent service for IoT. Intelligent services can delivery us with all kinds of IT solutions and services, which leads any organization to lead it’s market with good cloud Quality of Service (QoS), reduce it’s cost and rise up it’s profit. Intelligent services connect the gap between developers, architect and build planners with the best-of-breed intelligent and green building technologies, practice thus reduce costs, quick return investments, add comfort, obtain value and ease to build occupants. All lead to sustainable communities. The major enabling technologies that are giving a flying kick start to IoT are the intelligent service for ad hoc and wireless sensor networks (WSNs), real-time systems, low power and energy harvesting, radio frequency identification, resource-constrained networks, embedded software, and others. The emergence and appearance of various intelligent service of wireless sensor networks have brought about lot of changes as well as opportunities. However, many new challenges confront researche…
creator: Journal of Internet Technology
date: 2017-01-20

Message: New JIT Website Announcement
type: item
description: We are delighted to officially announce the launch of our website on November 11th, 2016. You can now find us at jit.niu.edu.tw or jit.ndhu.edu.tw.
creator: Journal of Internet Technology
date: 2016-11-11

Special Issue: “Behavior Data Analytics for Cybersecurity”
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description: Call for Papers Journal of Internet Technology (http://jit.niu.edu.tw/, Indexed by SCI-E) Special Issue on “Behavior Data Analytics for Cybersecurity” Theme and Scope Moving towards digital nation and smart cities, cyberspace is becoming an increasingly important platform for innovation and prosperity, and the means to improve general welfare and productivity. Due to the loosely coupled and lightly regulated digital infrastructure for collaboration and sharing, greater risks and new cybersecurity challenges result. Furthermore, as the scale and complexity of this cyberspace grow, big data approach has generally been proven to be a promising direction to understand what is on-going inside, both at the macroscopic and microscopic levels. As the same time, behavior analytics, in particular using domain knowledge and semantics to assist data mining and pattern discovery, is also found to be very effective in understanding not only the transactional behavior patterns of entities in the cyberspace, but also the causations behind these patterns as well as the quantification of their cognitive experience. When these two areas are put together, it creates a promising direction to address new cybersecurity challenges. It also opens up new fundamental research questions in both fields, data analytics, and cybersecurity. This special session will include papers based on the presentation at the 18th International Conference on Information and Communications Security, ICICS 2016 (http://www.icics2016.org) and papers submitted for this call for papers. All submitted papers are subjected to the same review process as those papers accepted for publication in the regular issues. Topics include but are not limited to: l Affective computing l Attack behavior analysis l Attribute-oriented analysis l Behavior models and theories l Behavior analytics service platform l Cognitive cyber-infrastructure l Distributed systems security l Multi-dimensional data models and optimization l Next gen…
creator: Journal of Internet Technology
date: 2016-11-09

Special Issue: “Applications on Watermarking and Visual Cryptography”
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description: Call for Papers Journal of Internet Technology (http://jit.niu.edu.tw/, Indexed by SCI-E) Special Issue on “Applications on Watermarking and Visual Cryptography” Theme and Scope Nowadays, many applications based on multimedia signal processing have been applied into our daily lives. With the proliferation of image and video contents, the issues of information security, data privacy and forensic analysis have attracted a growing number of researchers in the multimedia community. Solutions and progress made in this field will not only bring the end users new experiences in a secure and privacy-preserving manner but also facilitate next generation multimedia applications and tools for the content provider. The main focus of this special issue will be on the novel proposal of watermarking and visual cryptography techniques for multimedia security and forensics as well as new applications that could be built on top of them. Moreover, new steganalysis approaches are also included in this special issue. The special issue will become an international forum for researchers of industries and academic institutions to collect the most recent developments in these fields, with a special emphasis given to the improvements and results obtained within the last five years. For this, this Special Issue of JIT is addressing a call to researchers and academics for innovative papers submissions on the following (not limited) list of topics: • Multimedia Watermarking • Fingerprinting and encryption • Adaptive Steganography and Steganalysis • Visual Cryptography and Secret Image Sharing • Multimedia forensics and Counter Forensics • Source Device Identification and Linking • Covert Communication and Surveillance in Internet • Communication Protocols for Internet Security • Signal Processing in the Encrypted Domain • Instructions for Manuscripts Each paper, written in English, should be no more than 5000 words, including references and illustrations. More information can be found at http:/…
creator: Journal of Internet Technology
date: 2016-11-09

Special Issue: Selected papers from "MobiSec 2016”
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description: Call for Papers Journal of Internet Technology (http://jit.niu.edu.tw/, Indexed by SCI-E) Special Issue on “Selected papers from MobiSec 2016” Theme and Scope During the past two decades, mobile Internet technologies have been dramatically growing while leading to a paradigm shift in our everyday life. Despites their revolution, mobile Internet technologies also open doors to various security threats, which should be addressed to keep mobile Internet environments to be secure and trustable. Even worse, the latest technologies, e.g. distributed mobility management, mobile Internet of things, 5G networks, and so forth, are continuously introducing new security challenges. Therefore, it is of paramount importance to study mobile Internet security. The 1st International Conference on Mobile Internet Security (MobiSec 2016) was held in Taichung, Taiwan on 13-16 July, 2016. It brought together the academic and industrial researchers working on different aspects to exchange ideas, and explore new research directions for addressing the challenges in mobility Internet security. The main goal of this special issue is to provide an opportunity for researchers and practitioners to contribute with original research and review articles. It will publish outstanding papers selected from those accepted by and presented in MobiSec 2016. Each selected paper must be substantially extended, with at least 40% of difference from its conference version. The special issue on "MobiSec 2016" is estimated to be published in July 2018. Topics of this special issue include, but are not limited to: • New security vulnerabilities and threats in mobile internet and networks • Security issues and protocols for mobile internet and networks • Privacy and trust for mobile internet and networks • Security for cross-layer handover • Security for vertical handover in heterogeneous networks • New advances in the AAA infrastructure and EAP • Security for 4G and 5G networks • Security for mobile WIMAX and WI…
creator: Journal of Internet Technology
date: 2016-11-23

Special Issue: “The 10th International Conference on Network and System Security (NSS 2016)”
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description: Call for Papers Journal of Internet Technology (http://jit.niu.edu.tw/, Indexed by SCI-E) Special Issue on “The 10th International Conference on Network and System Security (NSS 2016)” Theme and Scope While the attack systems have become more easy-to-use, sophisticated, and powerful, interest has greatly increased in the field of building more effective, intelligent, adaptive, active and high performance defense systems which are distributed and networked. The NSS series conferences cover research on all theoretical and practical aspects related to network and system security, such as authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability of computer networks and systems. This year, the 10th International Conference on Network and System Security (NSS 2016) will be held in Taipei, Taiwan on 28-30 September, 2016. The aim of NSS 2016 is to provide a leading edge forum to foster interaction between researchers and developers with the network and system security communities, and to give attendees an opportunity to interact with experts in academia, industry, and governments. More information about the conference can be found at its website http://nsclab.org/nss2016. The main goal of this special issue is to publish outstanding researches from NSS 2016. We plan to select the papers relevant to network and system security from the accepted papers based on the reviews (comments and scores) and the presentations during the conferences. Each selected paper must be substantially extended, with at least 40% difference from its conference version. The special issue on "NSS 2016" is estimated to be published in Vol. 19 No. 4, July 2018. Topics of interest include but are not limited to: l - Applied Cryptography l - Authentication l - Big Data Security and Privacy l - Database and System Security l - Intellectual Property Rights Protection l - Internet and Network Forensics l - Intrusion Detection and Prevention l - Se…
creator: Journal of Internet Technology
date: 2016-11-28

Message: 2015 SCI Impact Factor
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description: The newest IF for JIT has been released and is 0.44(2015).
creator: Journal of Internet Technology
date: 2016-05-27

Message: New Manuscript Submission System
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description: JIT has announced a partnership with ScholarOne. We will start the new manuscript submission system, ScholarOne, from April 21st, 2015. This change is to improve our quality and efficiency of service. From now on, after we receive a submission, we will do our best to shorten the review process, and make a decision within 6 months. From April 21st, 2015: Our submission system can be found here: https://mc04.manuscriptcentral.com/internet-tech Our website can be found here: http://jit.niu.edu.tw Our original submission system will not accept any new submissions from April 21st, 2015. Submissions before April 21st, 2015. via here , please do not resubmit your manuscript in ScholarOne as it will be reviewed in the old system.
creator: Journal of Internet Technology
date: 2016-05-26