A Secured Data Storage Mechanism Using Baye’s Theorem and Matrix for Effective Data Communication in Cloud

Abstract

In cloud, the data security is playing major role for ensuring the drastic improvement of the number of cloud users. For this purpose, many secured data storage mechanisms are introduced by the researchers in the past. However, the available mechanisms are consuming more time and also not achieved the required security. For fulfilling this gap, this paper introduces a new Baye’s theorem and Matrix translation based secured data storage method to store the cloud user’s data securely in effective manner in cloud. Moreover, a new Baye’s theorem-based authentication scheme to access the encrypted data from the cloud database. The proposed secured storage method incorporates an encryption method called Elliptic Curve Cryptography and also applies the matrix translation method for performing encryption process effectively. In addition, the matrix transposition method is applied for performing decryption process over the encrypted text. This work applies base theorem for generating keys for the cloud users to access the encrypted data that are taken from cloud server. The experiments have been carried out to evaluate the performance of the proposed secured data storage and retrieval model and it is proved the efficiency and effectiveness with respect to high security level than the available methods.