Privacy-Preserving Public Auditing for Shared Data in Mobile Cloud Storage

Xia'nan Zhao, Dongsheng Wang
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Abstract

With the mobile cloud storage services, mobile users can easily form a group and share data with each other. Given the fact that the cloud are not trustable, a third party public auditor can be introduced to audit data integrity, and supporting group dynamics and protecting the privacy of the original user of shared data from the public auditor is a fundamental issue during the auditing. In this paper, we propose a new identity privacy-preserving public auditing scheme for the integrity of group data with efficient group dynamics utilizing the multilinear maps based Diffie-Hellman Key Exchange protocol. With our proposed scheme, a third party auditor is able to audit the integrity of shared data without learning private identity information of the group members, and proxy re-signatures are used here to allow the cloud to do the re-computing to support group dynamics (user join and user revocation). Besides, our scheme also supports secure and efficient public auditing due to our improved polynomial-based authentication tags. The security and performance analysis shows that our proposed scheme is secure and highly efficient.
移动云存储中共享数据的隐私保护公共审计
通过移动云存储服务,移动用户可以很容易地组成一个群组,彼此共享数据。考虑到云不可信的事实,可以引入第三方公共审计员来审计数据的完整性,支持群体动态和保护共享数据的原始用户免受公共审计员的隐私是审计过程中的一个基本问题。在本文中,我们利用基于多线性映射的Diffie-Hellman密钥交换协议,提出了一种新的具有有效群动力学的群体数据完整性身份隐私保护的公共审计方案。通过我们提出的方案,第三方审计员能够在不了解组成员私有身份信息的情况下审计共享数据的完整性,并且这里使用代理重新签名来允许云进行重新计算以支持组动态(用户加入和用户撤销)。此外,由于我们改进了基于多项式的认证标签,我们的方案还支持安全高效的公共审计。安全性和性能分析表明,该方案安全高效。
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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