Revival of Secure Top-k Multi-Keyword over Encrypted Cloud Data
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 9, Issue 2
Abstract
Cloud computing has recently emerged as a new platform for deploying, managing, and provisioning large-scale services through an Internet-based 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 server-side ranking based on order-preserving encryption (OPE) inevitably leaks data privacy. To eliminate the leakage, propose a two-round searchable encryption (TRSE) scheme that supports top-k 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 “as-strong-as 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.
Authors and Affiliations
Juvairiya K P , Rasheeda Z Khan
Keywords
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