NDLI: Thrifty privacy: efficient support for privacy-preserving publish/subscribe

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Thrifty privacy: efficient support for privacy-preserving publish/subscribe

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Thrifty privacy: efficient support for privacy-preserving publish/subscribe

Content Provider	ACM Digital Library
Author	Rivière, Etienne Felber, Pascal Barazzutti, Raphaël Onica, Emanuel Mercier, Hugues
Abstract	Content-based publish/subscribe is an appealing paradigm for building large-scale distributed applications. Such applications are often deployed over multiple administrative domains, some of which may not be trusted. Recent attacks in public clouds indicate that a major concern in untrusted domains is the enforcement of privacy. By routing data based on subscriptions evaluated on the content of publications, publish/subscribe systems can expose critical information to unauthorized parties. Information leakage can be avoided by the means of privacy-preserving filtering, which is supported by several mechanisms for encrypted matching. Unfortunately, all existing approaches have in common a high performance overhead and the difficulty to use classical optimization for content-based filtering such as per-attribute containment. In this paper, we propose a novel mechanism that greatly reduces the cost of supporting privacy-preserving filtering based on encrypted matching operators. It is based on a pre-filtering stage that can be combined with containment graphs, if available. Our experiments indicate that pre-filtering is able to significantly reduce the number of encrypted matching for a variety of workloads, and therefore the costs associated with the cryptographic mechanisms. Furthermore, our analysis shows that the additional data structures used for pre-filtering have very limited impact on the effectiveness of privacy preservation.
Starting Page	225
Ending Page	236
Page Count	12
File Format	PDF
ISBN	9781450313155
DOI	10.1145/2335484.2335509
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-07-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Content-based routing Privacy Publish/subscribe
Content Type	Text
Resource Type	Article

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