Towards a landmark influence framework to protect location privacy

  • Authors:
  • Mehrab Monjur;Sheikh I. Ahamed

  • Affiliations:
  • Marquette University, Milwaukee, Wisconsin;Marquette University, Milwaukee, Wisconsin

  • Venue:
  • Proceedings of the 2009 ACM symposium on Applied Computing
  • Year:
  • 2009

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Abstract

In this paper, we present a cloaking algorithm called DirectedCloaking to protect user's location privacy. There is a location anonymizer (LA) to perform this cloaking. Once this cloaked location data is provider by LA, location based service provider (LBSP) can minimize and give relevant result-candidates for a given query. LBSP can also constrain the maximum possible candidates for a given query because of our definition of a PossibleSpace. We define, for the first time, Landmark Influence Space (LIS) and show that cloaking in LIS can give the above-mentioned performance benefit to the user.