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Kaj Grønbæk

Using Extracted Behavioral Features to Improve Privacy for Shared Route Tracks

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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.
OriginalsprogEngelsk
Titel 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
RedaktørerAndreas U. Schmidt, Giovanni Russello, Ioannis Krontiris, Shiguo Lian
Antal sider12
ForlagSpringer
Udgivelsesår2012
Sider107-118
ISBN (trykt)978-3-642-33391-0
ISBN (Elektronisk)978-3-642-33392-7
DOI
StatusUdgivet - 2012
Begivenhed4th International Conference on Security and Privacy in Mobile Information and Communication Systems - Frankfurt am Main, Tyskland
Varighed: 25 jun. 201226 jun. 2012

Konference

Konference4th International Conference on Security and Privacy in Mobile Information and Communication Systems
LandTyskland
ByFrankfurt am Main
Periode25/06/201226/06/2012
SerietitelLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Vol/bind107
ISSN1867-8211

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