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Location privacy: User-centric threat analysis
KTH, School of Computer Science and Communication (CSC), Theoretical Computer Science, TCS.ORCID iD: 0000-0002-7102-8153
2012 (English)In: Computer Network Defense (EC2ND), 2011 Seventh European Conference on, IEEE , 2012, 58- p.Conference paper (Refereed)
Abstract [en]

Information that describes the geographic locations of a person over time is a fairly new class of potentially privacy-harming data. In pace with certain technological advances of the recent years, more and more location data is generated and processed by various systems. Its usage for different location-based services (including the integration into social network services) encounters a steep and still ongoing rise in popularity. Besides communication infrastructure based localization methods that map IP-addresses, GSM-cell identifiers or wireless router MAC-addresses to geographic locations, the main contribution to this development comes from the proliferation of GPS-enabled mobile user devices. The critical point is that plain location data has the potential to both identify a single user and disclose sensitive information about that user's activity at the same time. This makes the robust anonymization of position information a non-trivial task and has created a lively branch in privacy research over the last years.

Place, publisher, year, edition, pages
IEEE , 2012. 58- p.
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-116847DOI: 10.1109/EC2ND.2011.9ScopusID: 2-s2.0-84872222228ISBN: 978-076954762-6OAI: diva2:601268
2011 7th European Conference on Computer Network Defense, EC2ND 2011, 6 September 2011 through 7 September 2011, Gothenburg

QC 20130129

Available from: 2013-01-29 Created: 2013-01-28 Last updated: 2013-01-29Bibliographically approved

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ReferencesLink to record
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