Towards Privacy for Social Networks: A Zero-Knowledge Based Definition of Privacy

  • Johannes Gehrke
  • Edward Lui
  • Rafael Pass
Conference paper

DOI: 10.1007/978-3-642-19571-6_26

Volume 6597 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Gehrke J., Lui E., Pass R. (2011) Towards Privacy for Social Networks: A Zero-Knowledge Based Definition of Privacy. In: Ishai Y. (eds) Theory of Cryptography. TCC 2011. Lecture Notes in Computer Science, vol 6597. Springer, Berlin, Heidelberg

Abstract

We put forward a zero-knowledge based definition of privacy. Our notion is strictly stronger than the notion of differential privacy and is particularly attractive when modeling privacy in social networks. We furthermore demonstrate that it can be meaningfully achieved for tasks such as computing averages, fractions, histograms, and a variety of graph parameters and properties, such as average degree and distance to connectivity. Our results are obtained by establishing a connection between zero-knowledge privacy and sample complexity, and by leveraging recent sublinear time algorithms.

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Copyright information

© International Association for Cryptologic Research 2011

Authors and Affiliations

  • Johannes Gehrke
    • 1
  • Edward Lui
    • 1
  • Rafael Pass
    • 1
  1. 1.Cornell UniversityUSA