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作 者:YANG Xiaoyuan ZHU Shuaishuai PAN Xiaozhong
机构地区:[1]The Institute of Information Security, Engineering Collegeof Chinese Armed Police Force, Xi'an 710086, Shannxi, China [2]Key Laboratory of Network and Information Security ofAPF / Engineering College of Armed Police Force, Xi'an 710086,Shannxi, China
出 处:《Wuhan University Journal of Natural Sciences》2011年第5期399-404,共6页武汉大学学报(自然科学英文版)
基 金:Supported by the National Natural Science Foundation of China (60633020, 60573036);the Fundamental Funding Research Project of the Engineering College of APF (WJY 201026)
摘 要:In Cloud computing, data and service requests are responded by remote processes calls on huge data server clusters that are not totally trusted. The new computing pattern may cause many potential security threats. This paper explores how to ensure the integrity and correctness of data storage in cloud computing with user's key pair. In this paper, we aim mainly at constructing of a quick data chunk verifying scheme to maintain data in data center by implementing a balance strategy of cloud computing costs, removing the heavy computing load of clients, and applying an automatic data integrity maintenance method. In our scheme, third party auditor (TPA) is kept in the scheme, for the sake of the client, to periodically check the integrity of data blocks stored in data center. Our scheme supports quick public data integrity verification and chunk redundancy strategy. Compared with the existing scheme, it takes the advantage of ocean data support and high performance.In Cloud computing, data and service requests are responded by remote processes calls on huge data server clusters that are not totally trusted. The new computing pattern may cause many potential security threats. This paper explores how to ensure the integrity and correctness of data storage in cloud computing with user's key pair. In this paper, we aim mainly at constructing of a quick data chunk verifying scheme to maintain data in data center by implementing a balance strategy of cloud computing costs, removing the heavy computing load of clients, and applying an automatic data integrity maintenance method. In our scheme, third party auditor (TPA) is kept in the scheme, for the sake of the client, to periodically check the integrity of data blocks stored in data center. Our scheme supports quick public data integrity verification and chunk redundancy strategy. Compared with the existing scheme, it takes the advantage of ocean data support and high performance.
关 键 词:cloud computing data verifiability data center data interity
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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