DATA DEDUPLICATION WITH SECURE, DISTRIBUTED AND IMPROVED RELIABILITY

Data deduplication is a technique for reducing duplicate copies of data, and has been mostly used in cloud storage to reduce storage space and upload bandwidth. There is only single copy of each file stored in cloud even if such a file is owned by a huge number of users. As a result, this system improves storage utilization while reducing reliability. Further more ,the challenge of privacy for sensitive data also arises when they are outsourced by users to cloud. Aiming to address the above security challenges, this paper makes the first attempt to formalize the notion of distributed reliable deduplication system. We propose new distributed deduplication systems with higher reliability in which the data chunks are distributed across multiple cloud servers. The security requirements of data confidentiality and tag consistency are also achieved by introducing a deterministic secret sharing scheme in distributed storage systems, instead of using convergent encryption as in previous deduplication systems. Security analysis demonstrates that our deduplication systems are secure in terms of the definitions specified in the proposed security model. As a proof of concept, we implement the proposed systems and demonstrate that the incurred overhead is very limited in realistic environments.