A De-Duplication Scheme and Distributed Key Generation for Achieving the Strongest Privacy in Cloud
L. Sankaran, Dharmendar Kumar, S. Dushyanth, E. Ayyappan · Zenodo (CERN European Organization for Nuclear Research) · 2017
In this paper we study about hybrid cloud approach for secure authorized deduplication. Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been rapidly used in clouds to reduce the amount of storage space. To protect the privacy of sensitive data while supporting deduplication, the convergent encryption technique has been used to encrypt the data before outsourcing. To better protect data security, this paper makes the first attempt to formally address the problem of authorized data deduplication. This technique is different from traditional deduplication systems, the differential privileges of users are further considered in duplicate check besides the data itself. We also present several new deduplication constructions that have been supporting the authorized deduplication in a hybrid cloud environment. Security analysis demonstrates that our deduplication scheme is secure by the definitions specified in the proposed security model. As a proof of concept, we implement a prototype of our proposed authorized deduplication scheme and conduct tested experiments using our prototype. We show that our proposed authorized deduplication scheme incurs minimal overhead compared to normal operations.