A Privacy-Preserving Hybrid Cooperative Searching Scheme over Outsourced Cloud Data

被引:5
作者
Zhang, Qiang [1 ]
Liu, Qin [2 ]
Wang, Guojun [3 ]
机构
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China
[2] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China
[3] Guangzhou Univ, Sch Comp Sci & Educ Software, Guangzhou 510006, Guangdong, Peoples R China
来源
SECURITY, PRIVACY, AND ANONYMITY IN COMPUTATION, COMMUNICATION, AND STORAGE | 2016年 / 10066卷
关键词
Cloud computing; Hybrid; Cooperative searching; Privacy-preserving; User experience;
D O I
10.1007/978-3-319-49148-6_23
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the progress of science and technology, cloud computing has attracted more and more attention. Individuals or companies use cloud computing to save money. The privacy problem has always been a stumbling block for the further development of cloud computing. A key problem is how to provide an efficient cloud service in a privacy-preserving way while preserving good user experience. In order to solve these problems, scientists have proposed several solutions. However these techniques either generate huge computation costs and bandwidth, or reduce the user experience. In this paper, we propose a Privacy-Preserving Hybrid Cooperative Searching (HCPS) scheme. Our scheme allows multiple users to combine their queries in order to reduce the query cost and at the same time to protect their privacy and have a good user experience.
引用
收藏
页码:265 / 278
页数:14
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