Blockchain-Based Public Auditing Scheme for Shared Data

With the rapid development of cloud computing, an increasing number of organizations and individuals store and share their data on untrusted clouds. Therefore, shared data auditing has become an important issue in the field of cloud storage, attracting the attention of researchers. However, the state-of-the-art schemes can not fully meet the performance and security requirements. Therefore, in this paper we propose a public audit shared data protocol for cloud storage by using blockchain and Rank-based Merkle AVL tree (RB-MHT) to achieve privacy preserving and batch auditing to reduce system overhead as well as keeping the security of modification record in this blockchain-based scheme. For privacy-perserving, the auditing signature is only related to group management during the audit process and data will be blind by a random value. Furthermore, we prove the security of our scheme and evaluate the performance of it through implementation. The results demonstrate that the proposed scheme is provably secure and efficient.