anonymous

Technology trends and economic forces are moving us toward a world in which personal information is valuable, and companies have an incentive to obtain as much of it as possible. Targeted advertising, for example, has revolutionized revenue generation, but while this is good for companies, the implications for user privacy are less positive. In this project, we introduce a psuedonym abstraction that gives users control over linkability across layers.

Source Code: https://github.com/UWNetworksLab/pseudonyms

People

Publications

  • Expressive Privacy Control with Pseudonyms
    Seungyeop Han, Vincent Liu, Qifan Pu, Simon Peter, Thomas Anderson, Arvind Krishnamurthy, David Wetherall. In Proc. of ACM SIGCOMM 2013, August 2013.

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