A New Secure Data Deduplication Approach Supporting User Traceability
Jianfeng Wang, Xiaofeng Chen, Jin Li, Kamil Kluczniak, Mirosław Kutyłowski · 2015
The notion of data deduplication enables a user to eliminate duplicate copies of data so that it can save the amount of storage space and network bandwidth. Convergent encryption, as the state-of-art approach, has been widely adopted to perform secure deduplication in the cross-user scenario. However, all the existing solutions cannot support user traceability. That is, there is no way to trace the identities of malicious users for instance in case a user performed a duplicate faking attack. To cope with this issue, in this paper, we propose a novel secure deduplication scheme supporting user traceability by incorporating traceable signatures with the state of the art deduplication technique, such as interactive randomized convergent encryption and proof of ownership.