An Efficient Privacy-Preserving Data De-Duplication in Cloud

摘要

Secure data de-duplication can significantly reduce the communication and storage overheads in cloud storage services, and has potential applications in our data-driven society. Existing data de-duplication schemes are generally designed to either resist brute-force attacks or ensure the efficiency and data availability, but not both conditions. In this paper, a three-tier cross-domain architecture and an efficient and privacy-preserving big data de duplication is proposed in cloud storage (EPD). EPD achieves both data availability, resists brute-force attacks and privacy-preserving data. In addition, accountability is taken into consideration to offer better privacy assurances than existing schemes. The proposed data de-duplication outperforms existing competing schemes, in terms of computation, communication and storage overheads.