Poster: privacy-preserving profile similarity computation in online social networks

  • Authors:
  • Arjan Jeckmans;Qiang Tang;Pieter Hartel

  • Affiliations:
  • University of Twente, Enschede, Netherlands;University of Twente, Enschede, Netherlands;University of Twente, Enschede, Netherlands

  • Venue:
  • Proceedings of the 18th ACM conference on Computer and communications security
  • Year:
  • 2011

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Abstract

Currently, none of the existing online social networks (OSNs) enables its users to make new friends without revealing their private information. This leaves the users in a vulnerable position when searching for new friends. We propose a solution which enables a user to compute her profile similarity with another user in a privacy-preserving way. Our solution is designed for a realistic OSN environment, where a pair of users is unlikely to be online at the same time.