Blockchain-based transparent and certificateless data integrity auditing for cloud storage

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Yapeng Miao, Ying Miao, Xuexue Miao
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引用次数: 0

Abstract

Cloud storage provides a convenient way of collaboration and sharing. An increasing number of users are becoming more open to sharing their data with others. Consequently, the integrity of shared data has started to draw significant attention due to the loss control of it. Remote data integrity techniques can solve this problem. To resist the collusion between the third party auditor and the cloud server, existing integrity auditing schemes utilize blockchain to replace the third party auditor to do some work. However, these schemes still involve collusion between the third party auditor and the miners and cannot guarantee the third party auditor to execute the auditing process honestly. Considering this, we propose a blockchain-based transparent and certificateless data integrity auditing scheme. Specifically, we design the smart contract combining the commitment technology to generate the challenge information and record the auditing information. Besides, we combine certificateless cryptography and the blind technology to achieve the privacy-preserving. The proposed scheme can resist collusion, improve the transparency of the auditing process, protect the data privacy and reduce the overhead of certificate management and key management. The security analysis and performance evaluation demonstrate the security and efficiency of the scheme.

基于区块链的云存储透明无证书数据完整性审计
云存储提供了一种便捷的协作和共享方式。越来越多的用户越来越愿意与他人共享数据。因此,由于共享数据的失控,其完整性开始引起人们的极大关注。远程数据完整性技术可以解决这一问题。为了抵制第三方审计员与云服务器之间的串通,现有的完整性审计方案利用区块链来替代第三方审计员做一些工作。然而,这些方案仍然涉及第三方审计员与矿工之间的勾结,无法保证第三方审计员诚实地执行审计过程。有鉴于此,我们提出了一种基于区块链的透明无证书数据完整性审计方案。具体来说,我们结合承诺技术设计了智能合约,用于生成挑战信息和记录审计信息。此外,我们还结合了无证书密码学和盲技术来实现隐私保护。所提出的方案可以抵制串通,提高审计过程的透明度,保护数据隐私,减少证书管理和密钥管理的开销。安全分析和性能评估证明了该方案的安全性和高效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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