Pythia: a privacy aware, peer-to-peer network for social search

  • Authors:
  • Shirin Nilizadeh;Naveed Alam;Nathaniel Husted;Apu Kapadia

  • Affiliations:
  • Indiana University Bloomington, Bloomington, IN, USA;Indiana University Bloomington, Bloomington, IN, USA;Indiana University Bloomington, Bloomington, IN, USA;Indiana University Bloomington, Bloomington, IN, USA

  • Venue:
  • Proceedings of the 10th annual ACM workshop on Privacy in the electronic society
  • Year:
  • 2011

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Abstract

Emerging "live social search" systems such as Aardvark.com allow users to pose questions to their social network in real time. People can thus obtain answers from real humans for questions that prove too complex for web searches. Centralized systems that broker such queries and answers, however, do not provide adequate privacy. The success of these systems will be limited since users may avoid asking or answering questions related to sensitive topics such as health, political activism, or even innocuous questions which may make the querier seem ignorant. Since social search systems leverage the structure of the social network to better match askers and answerers, standard ideas that hide this structure such as "connect to Aardvark via Tor" fall short. Thus new techniques are needed to preserve the privacy of askers and answerers beyond the currently understood anonymity techniques. We explore the new and unique challenges for privacy, and propose Pythia, a decentralized architecture based on "controlled flooding" to enable privacy-enhanced social search that retains some degree of social network structure.