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2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) (2017)
Guangzhou, China
July 21, 2017 to July 24, 2017
ISBN: 978-1-5386-3220-8
pp: 562-567
ABSTRACT
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.
INDEX TERMS
Cloud computing, Servers, Secure storage, Encryption, Data models, Memory
CITATION

Y. Wu, Z. L. Jiang, X. Wang, S. Yiu and P. Zhang, "Dynamic Data Operations with Deduplication in Privacy-Preserving Public Auditing for Secure Cloud Storage," 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)(CSE-EUC), Guangzhou, Guangdong, China, 2017, pp. 562-567.
doi:10.1109/CSE-EUC.2017.104
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