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ARTICLE

Blockchain-Based Privacy-Preserving Public Auditing for Group Shared Data

by Yining Qi1,2,*, Yubo Luo3, Yongfeng Huang1,2, Xing Li1,2

1 Tsinghua University, Beijing, 100084, China
2 Beijing National Research Center for Information Science and Technology, Beijing, 100084, China
3 University of North Carolina at Chapel Hill, North Carolina, 27599, USA

* Corresponding Author: Yining Qi. Email: email

Intelligent Automation & Soft Computing 2023, 35(3), 2603-2618. https://doi.org/10.32604/iasc.2023.030191

Abstract

Cloud storage has been widely used to team work or cooperation development. Data owners set up groups, generating and uploading their data to cloud storage, while other users in the groups download and make use of it, which is called group data sharing. As all kinds of cloud service, data group sharing also suffers from hardware/software failures and human errors. Provable Data Possession (PDP) schemes are proposed to check the integrity of data stored in cloud without downloading. However, there are still some unmet needs lying in auditing group shared data. Researchers propose four issues necessary for a secure group shared data auditing: public verification, identity privacy, collusion attack resistance and traceability. However, none of the published work has succeeded in achieving all of these properties so far. In this paper, we propose a novel blockchain-based ring signature PDP scheme for group shared data, with an instance deployed on a cloud server. We design a linkable ring signature method called Linkable Homomorphic Authenticable Ring Signature (LHARS) to implement public anonymous auditing for group data. We also build smart contracts to resist collusion attack in group auditing. The security analysis and performance evaluation prove that our scheme is both secure and efficient.

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Cite This Article

APA Style
Qi, Y., Luo, Y., Huang, Y., Li, X. (2023). Blockchain-based privacy-preserving public auditing for group shared data. Intelligent Automation & Soft Computing, 35(3), 2603-2618. https://doi.org/10.32604/iasc.2023.030191
Vancouver Style
Qi Y, Luo Y, Huang Y, Li X. Blockchain-based privacy-preserving public auditing for group shared data. Intell Automat Soft Comput . 2023;35(3):2603-2618 https://doi.org/10.32604/iasc.2023.030191
IEEE Style
Y. Qi, Y. Luo, Y. Huang, and X. Li, “Blockchain-Based Privacy-Preserving Public Auditing for Group Shared Data,” Intell. Automat. Soft Comput. , vol. 35, no. 3, pp. 2603-2618, 2023. https://doi.org/10.32604/iasc.2023.030191



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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