Towards a Landmark Influence Framework to Protect Location Privacy
Format of Original
Association for Computing Machinery
Proceedings of the 2009 ACM Symposium on Applied Computing
Original Item ID
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.