Identity Matrix: Architecture Framework for Trusted Cloud Computing through Cloud Intellect

Abstract

This paper presents a novel approach to devise an architectural framework for trusted cloud computing to help organizations and companies in curtailing data processing costs by outsourcing computations on-demand by ensuring confidentiality and integrity of the data sources and computation processes. The proposed framework comprises a number of modules -- Identity Matrix (IMx) being one of them. The architecture is designed in a way that it offers processes a virtual view of a network interface to support user level access to high-speed communication devices like biometric devices to supportuser level identification system. As the target audience are scrutinized and their corresponding interest groups are better understood, the framework could be further refined such that it would make a systematic data warehouse depicting meaningful information for various public and private sector organizations and businesses etc. The right information would be directed towards right people at the right time; thus helping organizations to take right actions based on global network of trusted peers, as well as eliminating risks posed by identified malicious users. The main focus of this study will be software architecture. The study also demonstrates the efficacy of software architecture and high level design for the proposed trusted cloud computing framework.