Blockchain-Based Cloud Data Auditing Scheme in Multi-Cloud Storage Service Environment
Wang Shang, Meiju Yu, MingZhu Zhao, Haotian Wang · 2024
In recent years, cloud storage has been favored by users and operators due to its high availability, scalability, and low cost. However, due to the physical control of data being transferred to cloud servers, using only a single cloud service provider (CSP) poses security risks. Therefore, multi cloud storage solutions are becoming an increasingly popular choice for users.However, in current multi-cloud storage solutions, data integrity is still at risk of being compromised. To address this problem, this article designs a cloud data auditing scheme based on blockchain in a multi-cloud storage environment to ensure data integrity, as well as the reliability and credibility of the interaction process. This article proposes a data auditing scheme based on the improved Merkle tree algorithm, which addresses the potential malicious behavior of cloud servers and ensures the repeatability and reliability of auditing. This article also designs a data audit arbitration scheme based on smart contracts to solve disputes between users and CSP over auditing results, and to address the pain points of the current lack of such a solution. The final theoretical and experimental analysis results indicate that our scheme has higher security and faster verification process in multi cloud storage.