Towards a Landmark Influence Framework to Protect Location Privacy

Document Type

Conference Proceeding

Language

eng

Format of Original

2 p.

Publication Date

2009

Publisher

Association for Computing Machinery

Source Publication

Proceedings of the 2009 ACM Symposium on Applied Computing

Source ISSN

978-1-6058-166-8

Original Item ID

doi: 10.1145/1529282.1529330

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.

Comments

Published as part of the proceedings of the conference, the 2009 ACM Symposium on Applied Computing, 2009: 219-220. DOI.

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