Using Extracted Behavioral Features to Improve Privacy for Shared Route Tracks

Publication: Research - peer-reviewArticle in proceedings

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DOI

Track-based services, such as road pricing, usage-based insurance, and sports trackers, require users to share entire tracks of locations, however this may seriously violate users’ privacy. Existing privacy methods suffer from the fact that they degrade service quality when adding privacy. In this paper, we present the concept of privacy by substitution that addresses the problem without degrading service quality by substituting location tracks with less privacy invasive behavioral data extracted from raw tracks of location data or other sensing data. We explore this concept by designing and implementing TracM, a track-based community service for runners to share and compare their running performance. We show how such a service can be implemented by substituting location tracks with less privacy invasive behavioral data. Furthermore, we discuss the lessons learned from building TracM and discuss the application of the concept to other types of track-based services.
Original languageEnglish
Title of host publication Security and Privacy in Mobile Information and Communication Systems : 4th International Conference, MobiSec 2012, Frankfurt am Main, Germany, June 25-26, 2012, Revised Selected Papers
EditorsAndreas U. Schmidt, Giovanni Russello, Ioannis Krontiris, Shiguo Lian
Number of pages12
PublisherSpringer
Publication year2012
Pages107-118
ISBN (print)978-3-642-33391-0
ISBN (electronic)978-3-642-33392-7
DOIs
StatePublished - 2012
Event4th International Conference on Security and Privacy in Mobile Information and Communication Systems - Frankfurt am Main, Germany

Conference

Conference4th International Conference on Security and Privacy in Mobile Information and Communication Systems
LandGermany
ByFrankfurt am Main
Periode25/06/201226/06/2012
SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume107
ISSN1867-8211

    Keywords

  • Location, Privacy, Track-based services, Privacy-By-Substitution, Behavioral Features, Running

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