• DocumentCode
    612170
  • Title

    Strong location privacy: A case study on shortest path queries

  • Author

    Mouratidis, Kyriakos

  • Author_Institution
    Sch. of Inf. Syst., Singapore Manage. Univ., Singapore, Singapore
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    136
  • Lastpage
    143
  • Abstract
    The last few years have witnessed an increasing availability of location-based services (LBSs). Although particularly useful, such services raise serious privacy concerns. For example, exposing to a (potentially untrusted) LBS the client´s position may reveal personal information, such as social habits, health condition, shopping preferences, lifestyle choices, etc. There is a large body of work on protecting the location privacy of the clients. In this paper, we focus on shortest path queries, describe a framework based on private information retrieval (PIR), and conclude with open questions about the practicality of PIR and other location privacy approaches.
  • Keywords
    data privacy; information retrieval; mobile computing; LBS; PIR; health condition; lifestyle choice; location privacy protection; location-based service; private information retrieval; shopping preference; shortest path query; social habit; Artificial neural networks; Coprocessors; Educational institutions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-5303-8
  • Electronic_ISBN
    978-1-4673-5302-1
  • Type

    conf

  • DOI
    10.1109/ICDEW.2013.6547441
  • Filename
    6547441