Cloud Storage Auditing with Deduplication with Strong Privacy Protection
Apoorvaditya Singh, Dhanyashree R Prasad, Dilip Kumar B C, Samiksha Rana Singh, Anusha L. S · Zenodo (CERN European Organization for Nuclear Research) · 2021
The cloud storage auditing with deduplication is in a position to verify the integrity of knowledge stored within the cloud while the cloud must keep only one copy of a duplicated file. To the simplest of our knowledge, all of the prevailing cloud storage auditing schemes with deduplication are susceptible to brute-force dictionary attacks, which incurs the leakage of user privacy. In this paper, we focus on a new aspect of being against brute-force dictionary attacks on cloud storage auditing. We propose a cloud storage auditing scheme with deduplication supporting strong privacy protection, in which the privacy of the user's file would not be disclosed to the cloud and other parties when this user's file is predictable or from a small space. In the proposed scheme, we design a completely unique method to get the file index for duplicate check, and use a replacement strategy to get the key for file encryption.