期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：9
期号：2
页码：72-77
DOI：10.14445/22312803/IJCTT-V9P116
出版社：Seventh Sense Research Group
摘要：Cloud computing has recently emerged as a new platform for deploying, managing, and provisioning largescale services through an Internetbased infrastructure. However, concerns of sensitive information on cloud potentially cause privacy problems. Data encryption protects data security to some extent, but at the cost of compromised efficiency. Searchable symmetric encryption (SSE) allows retrieval of encrypted data over cloud. Here, focus on addressing data privacy issues using SSE. For the first time, formulate the privacy issue from the aspect of similarity relevance and scheme robustness. We observe that serverside ranking based on orderpreserving encryption (OPE) inevitably leaks data privacy. To eliminate the leakage, propose a tworound searchable encryption (TRSE) scheme that supports topk multi keyword retrieval. In TRSE, employ a vector space model and homomorphic encryption. The vector space model helps to provide sufficient search accuracy, and the homomorphic encryption enables users to involve in the ranking while the majority of computing work is done on the server side by operations only on cipher text. As a result, information leakage can be eliminated and data security is ensured. Thorough analysis shows that proposed solution enjoys “asstrongas possible” security guarantee compared to previous SSE schemes, while correctly realizing the goal of keyword search. Extensive experimental results demonstrate the efficiency of the proposed solution.
关键词：Cloud; data privacy; relevance score; similarity relevance; homomorphic encryption; vector space model
