You are looking at a specific version 20140605:085457 of this paper. See the latest version.

Paper 2014/253

Practical and Secure Query Processing for Large-scale Encrypted Cloud Storage Systems

Fangquan Cheng and Qian Wang and Kui Ren and Zhiyong Peng

Abstract

With the increasing popularity of cloud-based data services, data owners are highly motivated to store their huge amount of (potentially sensitive) personal data files on remote servers in encrypted form. Clients later can query over the encrypted database to retrieve files of interest while preventing database servers from learning private information about the contents of files and queries. In this paper, we investigate new and novel SSE designs which meet all practical properties, including one-round multi-keyword query, comprehensive and practical privacy protection, sublinear search time, and efficient dynamic data operation support. Moreover, our solutions can well support parallel search and run for very large-scale cloud databases. Compared to the existing SSE solutions, our solution is highly compact, efficient and flexible. Its performance and security are carefully characterized by rigorous analysis. Experimental evaluations conducted over large representative real-word data sets demonstrate that compared with the state-of-the-art our solution indeed achieves desirable properties for large-scale encrypted database systems.

Metadata
Available format(s)
-- withdrawn --
Category
Applications
Publication info
Preprint. MINOR revision.
Keywords
Cloud computingsearchable symmetric encryption
Contact author(s)
willwq @ msn com
History
2014-06-05: withdrawn
2014-04-20: received
See all versions
Short URL
https://ia.cr/2014/253
License
Creative Commons Attribution
CC BY
Note: In order to protect the privacy of readers, eprint.iacr.org does not use cookies or embedded third party content.