云计算中高效的公共完整性审计和安全的重复数据删除

Huixia Huo, Tao Jiang, Shichong Tan, Xiaoling Tao
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引用次数: 0

摘要

随着云计算的快速发展,将数据存储到云服务器成为一种日益增长的趋势,这使得完整性审计和重复数据删除成为两个研究热点。最近,一些现有的方案解决了重复数据删除的完整性审计问题。但是,这些方案不支持在完整性审计过程中对不同用户的认证标签进行聚合,这给第三方审计机构TPA带来了很大的计算成本,特别是在批量审计过程中。本文提出了一种基于聚合签名的安全重复数据删除的高效公共审计方案,使TPA以恒定的计算成本验证云服务提供商生成的完整性证明的正确性。该方案还可以有效地支持批量审计,其在TPA上的审计复杂性与审计任务的数量无关。最后,通过安全性分析和性能评估,证明了该方案的安全性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient public integrity auditing with secure deduplication in cloud computing
With the rapid development of cloud computing, storing data to cloud server becomes an increasing trend which promotes integrity auditing and data deduplication to be two hot research topics. Recently, some existing schemes addressed a problem about integrity auditing with deduplication. However, these schemes did not support aggregating authentication tags of different users in the integrity auditing process, which caused a heavy computation cost to the third party auditor TPA, especially in the batch auditing process. In this paper, we propose an efficient public auditing with secure deduplication scheme using the idea of aggregate signature, which makes the TPA verify the correctness of integrity proof generated by the cloud service provider with a constant computation cost. Our scheme can also efficiently support batch auditing, whose auditing complexity on the TPA is independent of the number of auditing tasks. Finally, we prove that our scheme is secure and efficient through security analysis and performance evaluation.
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