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  1. Proceedings of the 14th ACM Workshop on Privacy in the Electronic Society (WPES '15)
  2. Privacy-preserving User Matching
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On the Privacy Practices of Just Plain Sites
On the Unicity of Smartphone Applications
Notions of Deniable Message Authentication
Privately (and Unlinkably) Exchanging Messages Using a Public Bulletin Board
A High-Throughput Method to Detect Privacy-Sensitive Human Genomic Data
Known Unknowns: An Analysis of Twitter Censorship in Turkey
Strengthening Authentication with Privacy-Preserving Location Verification of Mobile Phones
Sybil-Resistant Pseudonymization and Pseudonym Change without Trusted Third Parties
Towards Measuring Resilience in Anonymous Communication Networks
Privacy-preserving User Matching
Inferring Unknown Privacy Control Policies in a Social Networking System
The Same-Origin Attack against Location Privacy
Rook: Using Video Games as a Low-Bandwidth Censorship Resistant Communication Platform
UnLinked: Private Proximity-based Off-line OSN Interaction

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Privacy-preserving User Matching

Content Provider ACM Digital Library
Author Gasti, Paolo Rasmussen, Kasper B.
Abstract Matching two or more users with related interests is an important and general primitive, applicable to a wide range of scenarios including job hunting, friend finding, and dating services. Existing on-line matching services requires participants to trust a third party server with their preferences. This raises security and privacy issues. In this paper, we tackle this problem by introducing two privacy-preserving protocols: server-led matching and user-led matching. In the first protocol, potential matching pairs (e.g., users, companies) are selected by the server, which collects and combines each party's preference. In the second, entities are allowed to express their preference for any party---regardless of whether the other party is known to the server. With server-led matching, users reveal no information to the server; the server's role is simply to relay messages. In user-led matching, the server only learns which users match. Our protocols are scalable, i.e., preferences can be matched in constant time. We formally define security and functionality requirements for generic server-led and user-led matching protocols, and provide security proofs for our instantiations within this framework.
Starting Page 111
Ending Page 120
Page Count 10
File Format PDF
ISBN 9781450338202
DOI 10.1145/2808138.2808148
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-10-12
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Privacy-preserving protocols User matching
Content Type Text
Resource Type Article
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