Privacy in mobile computing for location-sharing-based services

  • Authors:
  • Igor Bilogrevic;Murtuza Jadliwala;Kübra Kalkan;Jean-Pierre Hubaux;Imad Aad

  • Affiliations:
  • Laboratory for Communications and Applications, EPFL, Lausanne, Switzerland;Laboratory for Communications and Applications, EPFL, Lausanne, Switzerland;Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey;Laboratory for Communications and Applications, EPFL, Lausanne, Switzerland;Nokia Research Center, Lausanne, Switzerland

  • Venue:
  • PETS'11 Proceedings of the 11th international conference on Privacy enhancing technologies
  • Year:
  • 2011

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Abstract

Location-Sharing-Based Services (LSBS) complement Location-Based Services by using locations from a group of users, and not just individuals, to provide some contextualized service based on the locations in the group. However, there are growing concerns about the misuse of location data by third-parties, which fuels the need for more privacy controls in such services. We address the relevant problem of privacy in LSBSs by providing practical and effective solutions to the privacy problem in one such service, namely the fair rendezvous point (FRVP) determination service. The privacy preserving FRVP (PPFRVP) problem is general enough and nicely captures the computations and privacy requirements in LSBSs. In this paper, we propose two privacy-preserving algorithms for the FRVP problem and analytically evaluate their privacy in both passive and active adversarial scenarios. We study the practical feasibility and performance of the proposed approaches by implementing them on Nokia mobile devices. By means of a targeted user-study, we attempt to gain further understanding of the popularity, the privacy and acceptance of the proposed solutions.