Trust aware cryptographic role based access control scheme for secure cloud data storage

Abstract

Cloud data storage lets customers store vast amounts of data cheaply on demand. Cryptographic role-based access control (RBAC) systems preserve cloud data privacy by restricting access to users. This study develops a trust model to reason about and improve data security in cryptographic RBAC cloud storage systems. The trust degrees of the user determine the access rights to the data and are performed by User Activity Monitoring Agent (UAMA). Two different misconducts of users such as access policy violation and data leakage affect the trust degree of the user, which in turn upgrades the access policy. In addition, the user has to decrypt the data for gaining information from it, which is a second line of security. The performance of trust based RBAC scheme is evaluated with respect to different parameters such as illegitimate user detection, memory consumption, data storage with retrieval time and the proposed work performs better.