期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：4
出版社：S.S. Mishra
摘要：Cloud computing aims to ena ble end -users to easily create and use software without a need to worry about the technical imp lementations and nitty-gritty's such as the software's physical hosting location, hardware specifications, efficiency of data processing. It moves the application software and databases to the centralized large data centres, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about many new security challenges, which have not been well understood. This work studies the problem of ensuring the integrity of data storage in Cloud Computing. In particular, we consid er the task of allowing a third party auditor (TPA), on behalf of the cloud client, to verify the integrity of the dynamic data stored in the cloud.The introduction of TPA eliminates the involvement of the client through the auditing of whether his data stored in the cloud is indeed intact. The support for data dynamics via the most general forms of data operation, such as block modification, insertion and deletion, is also a significant step toward practicality, since services in Cloud Computing are not limited to archive or backup data only. While prior works on ensuring remote data integrity often lacks the support of either public audit ability or dynamic data operations, this paper achieves both. In particular, to achieve efficient data dynamics, we improve the existing proof of storage models by manipulating block tag authentication. To support efficient handling of multiple auditing tasks, we further explore the technique of signature to extend our main result into a multi-user setting, where TPA can perform multiple auditing tasks simultaneously. Extensive security and performance analysis show that the proposed schemes are highly efficient and provably secure.
关键词：Cloud computing; data dynamics; data integrity; error localization; p ublic verifiability.
