Real Time Efficient Block Level Dual Mode Data Deduplication Towards Mitigating Side Channel Attack in Cloud Storage

Abstract

Abstract The task of data deduplication and privacy preservation in cloud storage is well studied. There exist numerous approaches to enforce such deduplication and user privacy in cloud storage. However, the methods suffer to achieve expected performance in various metrics. To handle this issue, an efficient Real Time Block Level Dual Mode Data Deduplication (RBDD) scheme is presented in this article. The approach not just concentrates on data deduplication but also focuses on restricting the malicious adversaries at the block level. The method first enforces access restriction in block level based on the key metrics as well as access metrics measured in terms of Access Behavioral Measure (ABM). Also, the method maintains Page Matrix to store the schema of different pages which has information about the blocks, keys and encryption schemes. The dual mode approach encrypts the data encrypted by the user by its own system key which has been dynamically updated and modified at different sessions to handle different threats. The deduplication is performed by verifying the data in block level by computing Block Level Relational Measure (BLRM). Overall, the method improves the performance of data deduplication, public auditing and privacy preservation. Also, the method improves the performance in access restriction towards QOS development.