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Data deduplication is a method for removing multiple copies of same data, and has been widely used in cloud storage to reduce storage space and uploading speed. However, there is only one copy for each file stored in cloud even if such a file is owned by a multiple number of users. As a result, deduplication system improves storage utilization while reducing reliability. Mostly, 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 reliable deduplication system. We propose new distributed deduplication systems with higher reliability in which the data chunks are distributed across multiple cloud servers. The data confidentiality and tag consistency of data 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 depicts 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.

Implementation on Secure Distributed Deduplication Systems with Improved Reliability