PROJECT TITLE :

Secure Distributed Deduplication Systems with Improved Reliability

ABSTRACT:

Knowledge deduplication could be a technique for eliminating duplicate copies of knowledge, and has been widely used in cloud storage to reduce cupboard space and upload bandwidth. But, there's only one copy for each file stored in cloud whether or not such a file is owned by an enormous range of users. Thus, deduplication system improves storage utilization while reducing reliability. Furthermore, the challenge of privacy for sensitive knowledge conjointly arises once they are outsourced by users to cloud. Aiming to deal with the on top of security challenges, this paper makes the first try to formalize the notion of distributed reliable deduplication system. We have a tendency to propose new distributed deduplication systems with higher reliability in that the data chunks are distributed across multiple cloud servers. The safety requirements of data confidentiality and tag consistency also are achieved by introducing a deterministic secret sharing scheme in Distributed Storage systems, rather than using convergent encryption as in previous deduplication systems. Security analysis demonstrates that our deduplication systems are secure in terms of the definitions per the proposed security model. As an indication of concept, we tend to implement the proposed systems and demonstrate that the incurred overhead is terribly restricted in realistic environments.