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MoRePriv: Mobile Os Support For Application Personalization And Privacy
We aim to provide a solution that will stoke innovation around mobile personalization. To enable easy application per- sonalization, XEPP approximates users’ interests using per- sonae such as technophile or business executive. Using a number of case studies and crowd-sourced user studies, we illustrate how more complex personalization tasks can be achieved with the help of XEPP.
For privacy protection, XEPP distills sensitive user infor- mation to a coarse-grained profile, which limits the potential damage from information leaks. We see XEPP as a way to increase end-user privacy by enabling client-side computing, thus minimizing the need to share user data with the server. As such, XEPP shepherds the ecosystem towards a better pri- vacy stance by nudging developers away from today’s privacy- violating practices. Furthermore, XEPP can be combined with privacy-enhancing technologies and is complimentary to recent advances in data leak detection.
Author(s):
Drew Davidson
University of Wisconsin
United States
Matt Fredrikson
University of Wisconsin
United States
Benjamin Livshits
Microsoft Research
United States