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Privacy-Preserving Relationship Path Discovery in Social Networks

  • Ghita Mezzour
  • Adrian Perrig
  • Virgil Gligor
  • Panos Papadimitratos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5888)

Abstract

As social networks sites continue to proliferate and are being used for an increasing variety of purposes, the privacy risks raised by the full access of social networking sites over user data become uncomfortable. A decentralized social network would help alleviate this problem, but offering the functionalities of social networking sites is a distributed manner is a challenging problem. In this paper, we provide techniques to instantiate one of the core functionalities of social networks: discovery of paths between individuals. Our algorithm preserves the privacy of relationship information, and can operate offline during the path discovery phase. We simulate our algorithm on real social network topologies.

Keywords

Social Network Social Networking Site Token Propagation Homomorphic Encryption Computation Overhead 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ghita Mezzour
    • 1
  • Adrian Perrig
    • 1
  • Virgil Gligor
    • 1
  • Panos Papadimitratos
    • 2
  1. 1.Carnegie Mellon UniversityPittsburgh
  2. 2.EPFLLausanneSwitzerland

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