A network aware privacy model for online requests in trajectory data

  • Authors:

  • Aris Gkoulalas-Divanis;Vassilios S. Verykios;Panayiotis Bozanis

  • Affiliations:

  • Department of Computer and Communication Engineering, University of Thessaly, 37 Glavani - 28th October Str., Deligiorgi Building, 4th Floor, GR-38221 Volos, Greece;Department of Computer and Communication Engineering, University of Thessaly, 37 Glavani - 28th October Str., Deligiorgi Building, 4th Floor, GR-38221 Volos, Greece;Department of Computer and Communication Engineering, University of Thessaly, 37 Glavani - 28th October Str., Deligiorgi Building, 4th Floor, GR-38221 Volos, Greece

  • Venue:
  • Data & Knowledge Engineering
  • Year:
  • 2009

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Abstract

In this work, we propose a privacy model for online user requests on trajectory data in location based services by utilizing an underlying network of user movement. The privacy model has been implemented as a framework that (i) reconstructs the user movement from a series of independent location updates, (ii) identifies routes where user privacy is at risk, and (iii) transforms user requests into anonymous equivalents. The framework is implemented on top of a spatial database engine that offers a significant portion of the necessary functionality, while provides for its effective deployment.