Dynamic Data Operations with Deduplication in Privacy-Preserving Public Auditing for Secure Cloud Storage
Dynamic Data Operations with Deduplication in Privacy-Preserving Public Auditing for Secure Cloud Storage
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DOI：
10.1109/cse-euc.2017.104
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发表时间：
2017-07
期刊：
影响因子：
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通讯作者：
Cong Wang-;Sherman S. M. Chow;Qian Wang;K. Ren;Wenjing Lou
中科院分区：
文献类型：
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作者：
Cong Wang-;Sherman S. M. Chow;Qian Wang;K. Ren;Wenjing Lou
随着云计算在IT领域发挥着重要作用，云存储服务越来越受欢迎。通过将大数据文件外包给云服务器，可以减轻用户的存储和计算负担。然而，从云服务提供商的角度来看，利用重复数据删除技术来降低运行大型存储系统的成本和云服务器上的能源消耗是明智的。基于云存储系统中数据的动态性，我们不仅需要使用支持用户动态数据操作的审计协议来保证数据的完整性，还需要考虑在云服务提供商的动态数据操作中诉诸重复数据删除技术，以达到降低成本的目标。为此，本文提出了一种将重复数据删除和动态数据操作相结合的安全云存储隐私保护公共审计机制。安全性和性能分析表明，该机制具有较高的效率和可证明的安全性。
Cloud storage service has been increasing in popularity as cloud computing plays an important role in the IT domain. Users can be relieved of the burden of storage and computation, by outsourcing the large data files to the cloud servers. However, from the cloud service providers' point of view, it is wise to utilize the data deduplication techniques to reduce the costs of running large storage system and energy consumption on cloud servers. Based on the dynamic nature of data in the cloud storage system, we not only need to assure the data integrity with an auditing protocol supporting dynamic data operations for users, but also consider resorting to data deduplication techniques in the dynamic data operations for cloud service providers to achieve the goal of reducing costs. Thus, in this paper, we propose a mechanism that combines data deduplication with dynamic data operations in the privacy preserving public auditing for secure cloud storage. The analysis of security and performance shows that the proposed mechanism is highly efficient and provably secure.