Using Extracted Behavioral Features to Improve Privacy for Shared Route Tracks
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.
KeywordsLocation Privacy Track-based services Privacy-By-Substitution Behavioral Features Running
Unable to display preview. Download preview PDF.
- 1.Alka box (2012), http://www.alkabox.dk/
- 2.Endomondo (2012), http://www.endomodo.com/
- 3.Garmin connect (2012), http://connect.garmin.com/
- 4.Gpsies.com (2012), http://www.gpsies.com/
- 5.Ananthanarayanan, G., Haridasan, M., Mohomed, I., Terry, D., Thekkath, C.A.: Startrack: a framework for enabling track-based applications. In: Proc. of the 7th Int. Conf. on Mobile Systems, Applications, and Services (2009)Google Scholar
- 10.Mueller, F., Agamanolis, S.: Sports over a distance. Comput. Entertain. 3 (2005)Google Scholar
- 11.Mun, M., Reddy, S., Shilton, K., Yau, N., Burke, J., Estrin, D., Hansen, M., Howard, E., West, R., Boda, P.: Peir, the personal environmental impact report, as a platform for participatory sensing systems research. In: Proc. of the 7th Int. Conf. on Mobile Systems, Applications, and Services. ACM (2009)Google Scholar
- 13.Scipioni, M.P., Langheinrich, M.: I’m here! privacy challenges in mobile location sharing. In: 2nd Int. Workshop on Security and Privacy in Spontaneous Interaction and Mobile Phone Use, IWSSI/SPMU 2010 (2010)Google Scholar
- 14.Veltkamp, R.C.: Shape matching: similarity measures and algorithms. In: International Conference on Shape Modeling and Applications, SMI 2001, pp. 188–197 (May 2001)Google Scholar