Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14913
Title: Privacy through Uncertainty in Location-Based Services
Authors: Merrill, Shawn
Basalp, Nilgun
Biskup, Joachim
Buchmann, Erik
Clifton, Chris
KUIJPERS, Bart 
OTHMAN, Walied 
Savas, Erkay
Issue Date: 2013
Publisher: IEEE Computer Society
Source: Proceedings of PriSMO: Privacy and Security for Moving Objects, p. 1-6
Abstract: Location-Based Services (LBS) are becoming more prevalent. While there are many benefits, there are also real privacy risks. People are unwilling to give up the benefits - but can we reduce privacy risks without giving up on LBS entirely? This paper explores the possibility of introducing uncertainty into location information when using an LBS, so as to reduce privacy risk while maintaining good quality of service. This paper also explores the current uses of uncertainty information in a selection of mobile applications.
Keywords: Mobility; Databases; Data mining; Privacy
Document URI: http://hdl.handle.net/1942/14913
ISBN: In progress
Rights: IEEE Computer Society
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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