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http://hdl.handle.net/10397/105665
Title: | Access pattern hidden query over encrypted data through multi-clouds | Authors: | Dou, Y Chan, HCB |
Issue Date: | 2017 | Source: | GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore, 4-8 December 2017, 8253981 | Abstract: | Searchable encryption seeks to support untrusted third parties to conduct direct searching over encrypted data. However, recent research has found that searchable encryption is vulnerable to attacks, which exploit the statistical relationship or pattern identified from encrypted query results. In this paper, we study the problem of access pattern leakage attack on searchable encryption under a multi-cloud environment. Basically, both database records and queries are distributed among different cloud servers, so that each cloud server can only have partial information about queries and their results. To minimize the query response time while protecting information disclosure, we formulate the record and query assignment as an optimization problem, and solve the problem (i.e., finding the best possible solution) by the minimum s-t cut algorithm. Numerical results show that on average 13% access pattern information can be saved by our assignment strategy while maintaining good query response time. | Publisher: | Institute of Electrical and Electronics Engineers | ISBN: | 978-1-5090-5019-2 (Electronic) 978-1-5090-5020-8 (Print on Demand(PoD)) |
DOI: | 10.1109/GLOCOM.2017.8253981 | Rights: | ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Y. Dou and H. C. B. Chan, "Access Pattern Hidden Query over Encrypted Data through Multi-Clouds," GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore, 2017, pp. 1-6 is available at https://doi.org/10.1109/GLOCOM.2017.8253981. |
Appears in Collections: | Conference Paper |
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Dou_Access_Pattern_Hidden.pdf | Pre-Published version | 1.17 MB | Adobe PDF | View/Open |
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