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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File | Description | Size | Format | |
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prismo-2-1.pdf | Peer-reviewed author version | 1.93 MB | Adobe PDF | View/Open |
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