A trust-augmented voting scheme for collaborative privacy management

  • Authors:

  • Yanjie Sun;Chenyi Zhang;Jun Pang;Baptiste Alcade;Sjouke Mauw

  • Affiliations:

  • University of Luxembourg, Luxembourg and Shandong University, Jinan, China;University of Luxembourg, Luxembourg and University of New South Wales, Sydney, Australia;University of Luxembourg, Luxembourg;University of Luxembourg, Luxembourg;University of Luxembourg, Luxembourg

  • Venue:
  • STM'10 Proceedings of the 6th international conference on Security and trust management
  • Year:
  • 2010

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Abstract

Social networks have sprung up and become a hot issue of current society. In spite of the fact that these networks provide users with a variety of attractive features, much to users' dismay, however, they are likely to expose users private information (unintentionally). In this paper, we propose an approach which is intended for addressing the problem of collaboratively deciding privacy policies for, but not limited to, shared photos. Our proposed algorithm utilizes trust relations in social networks and combines it with the Condorcet preferential voting scheme. An optimization is developed to improve its efficiency. Experimental results show that our trust-augmented voting scheme performs well. An inference technique is introduced to infer a best privacy policy for a user based on his voting history.