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PET
2010
Springer

How to Share Your Favourite Search Results while Preserving Privacy and Quality

9 years 3 months ago
How to Share Your Favourite Search Results while Preserving Privacy and Quality
Personalised social search is a promising avenue to increase the relevance of search engine results by making use of recommendations made by friends in a social network. More generally a whole class of systems take user preferences, aggregate and process them, before providing a view of the result to others in a social network. Yet, those systems present privacy risks, and could be used by spammers to propagate their malicious preferences. We present a general framework to preserve privacy while maximizing the benefit of sharing information in a social network, as well as a concrete proposal making use of cohesive social group concepts from social network analysis. We show that privacy can be guaranteed in a k-anonymity manner, and disruption through spam is kept to a minimum in a real world social network.
George Danezis, Tuomas Aura, Shuo Chen, Emre Kicim
Added 14 Aug 2010
Updated 14 Aug 2010
Type Conference
Year 2010
Where PET
Authors George Danezis, Tuomas Aura, Shuo Chen, Emre Kiciman
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