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Open Access

ARTICLE

Sec-Auditor: A Blockchain-Based Data Auditing Solution for Ensuring Integrity and Semantic Correctness

Guodong Han, Hecheng Li*
College of Computer, Qinghai Normal University, Xining, 810008, China
* Corresponding Author: Hecheng Li. Email: lihecheng@qhnu.edu.cn
(This article belongs to the Special Issue: Trustworthy Wireless Computing Power Networks Assisted by Blockchain)

Computers, Materials & Continua https://doi.org/10.32604/cmc.2024.053077

Received 23 April 2024; Accepted 17 June 2024; Published online 15 July 2024

Abstract

Currently, there is a growing trend among users to store their data in the cloud. However, the cloud is vulnerable to persistent data corruption risks arising from equipment failures and hacker attacks. Additionally, when users perform file operations, the semantic integrity of the data can be compromised. Ensuring both data integrity and semantic correctness has become a critical issue that requires attention. We introduce a pioneering solution called Sec-Auditor, the first of its kind with the ability to verify data integrity and semantic correctness simultaneously, while maintaining a constant communication cost independent of the audited data volume. Sec-Auditor also supports public auditing, enabling anyone with access to public information to conduct data audits. This feature makes Sec-Auditor highly adaptable to open data environments, such as the cloud. In Sec-Auditor, users are assigned specific rules that are utilized to verify the accuracy of data semantic. Furthermore, users are given the flexibility to update their own rules as needed. We conduct in-depth analyses of the correctness and security of Sec-Auditor. We also compare several important security attributes with existing schemes, demonstrating the superior properties of Sec-Auditor. Evaluation results demonstrate that even for time-consuming file upload operations, our solution is more efficient than the comparison one.

Keywords

Provable data possession; public auditing; cloud storage; data integrity; semantic correctness

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