Integrity Audit Method for Cloud Data Based on Blockchain
Hui Ying Qi, Hang Li, Shuwen Huang, Peipei Li, Weiyi Dai, Chunbo Wang · 2022
With the emergence of cloud storage providers (CSP), an increasing number of users tend to migrate their data to the cloud, but users lose direct control over the data. To ensure data security in the cloud, it is necessary to introduce a third-party auditor (TPA) to audit the integrity of cloud data, but the TPA is not fully trusted. Therefore, our approach proposes a blockchain-based integrity auditing method. First, we construct a new integrity audit tree, which can be used to quickly generate the verification tag. Second, we use blockchain to store the audit records of the TPA so that the audit process can be checked at any time. Finally, we design a verification algorithm for audit results that can identify dishonest behavior of the TPA and the CSP. Theoretical analysis shows that our scheme can detect the behavior of TPA delaying audits, falsifying audit results and colluding with the CSP. Moreover, simulation experiments show that our scheme outperforms existing blockchain-based auditing schemes in terms of time overhead.