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MoRePriv: Mobile OS-Wide Application Personalization

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dc.contributor.author Livshits, Benjamin
dc.contributor.author Davidson, Drew
dc.date.accessioned 2012-03-27T15:18:03Z
dc.date.available 2012-03-27T15:18:03Z
dc.date.issued 2012-03-26
dc.identifier.citation TR1714
dc.identifier.uri http://digital.library.wisc.edu/1793/60867
dc.description.abstract We present MoRePriv, a system that combines the goals of privacy and content personalization in the browser. MoRePriv discovers user interests and shares them with third-parties, but only with the explicit per- mission of the user. We demonstrate how always-on user interest mining can effectively infer user interests in a mobile operating system. Inference is based on parsing and classifying multiple stream of (sensitive) informa- tion about the user, such as their email, SMS, Facebook stream, and network communications. This paper positions MoRePriv as an OS-level ser- vice that exposes information about the user in the form of a persona to applications. This provides easy-to-use APIs and limits the potential for information leaks. Us- ing a number of cases studies, we demonstrate how var- ious personalization tasks can be achieved with the help of MoRePriv. en
dc.description.provenance Submitted by Jason Carter (jmcarter3@wisc.edu) on 2012-03-27T15:18:03Z No. of bitstreams: 1 MoRePriv Mobile OS-Wide Application Personalization.pdf: 1357753 bytes, checksum: 7fc75aa2b4e91e79948a4b4e8c539c63 (MD5) en
dc.description.provenance Made available in DSpace on 2012-03-27T15:18:03Z (GMT). No. of bitstreams: 1 MoRePriv Mobile OS-Wide Application Personalization.pdf: 1357753 bytes, checksum: 7fc75aa2b4e91e79948a4b4e8c539c63 (MD5) Previous issue date: 2012-03-26 en
dc.subject Personalization, Privacy, Mobile Computing en
dc.title MoRePriv: Mobile OS-Wide Application Personalization en
dc.type Technical Report en

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