Design of cloud storage framework with privacy-preserving

被引:0
|
作者
Huang, Ruwei [1 ,3 ]
Gui, Xiaolin [1 ]
Yu, Si [1 ]
Zhang, Jin [2 ]
Qing, Duzheng [2 ]
机构
[1] Department of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
[2] Science and Technology on Special System Simulation Laboratory, Beijing 100854, China
[3] School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China
来源
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2011年 / 45卷 / 10期
关键词
Privacy-preserving techniques - Trees (mathematics);
D O I
暂无
中图分类号
学科分类号
摘要
An efficient and secure framework of cloud storage is proposed to support privacy security in cloud storage. The framework adopts a multi-tree structure for indexing, designs an extirpation-based key derivation algorithm (EKDA) for key management, and constructs a discrete logarithm-based search on encrypted keyword (DLSEK) for data sharing and ciphertext retrieval. The lazy revocation is combined into the framework to deal with the changes of users' access right and dynamic operations of data. Analyzing results for the effectiveness of EKDA, the performance of DLSEK and the privacy security of the framework show that EKDA can efficiently reduce the communication and storage overheads and that DLSEK is an encryption technique which supports ciphertext retrieval and is one-way security. The proposed framework is privacy-preserving while supporting data access efficiently.
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页码:1 / 6
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