• DocumentCode
    1158096
  • Title

    Anonymous Query Processing in Road Networks

  • Author

    Mouratidis, Kyriakos ; Yiu, Man Lung

  • Author_Institution
    Sch. of Inf. Syst., Singapore Manage. Univ., Singapore, Singapore
  • Volume
    22
  • Issue
    1
  • fYear
    2010
  • Firstpage
    2
  • Lastpage
    15
  • Abstract
    The increasing availability of location-aware mobile devices has given rise to a flurry of location-based services (LBSs). Due to the nature of spatial queries, an LBS needs the user position in order to process her requests. On the other hand, revealing exact user locations to a (potentially untrusted) LBS may pinpoint their identities and breach their privacy. To address this issue, spatial anonymity techniques obfuscate user locations, forwarding to the LBS a sufficiently large region instead. Existing methods explicitly target processing in the euclidean space and do not apply when proximity to the users is defined according to network distance (e.g., driving time through the roads of a city). In this paper, we propose a framework for anonymous query processing in road networks. We design location obfuscation techniques that: (1) provide anonymous LBS access to the users and (2) allow efficient query processing at the LBS side. Our techniques exploit existing network database infrastructure, requiring no specialized storage schemes or functionalities. We experimentally compare alternative designs in real road networks and demonstrate the effectiveness of our techniques.
  • Keywords
    automated highways; data privacy; graph theory; mobile computing; query processing; visual databases; LBS; anonymous query processing; euclidean space; graph theory; location obfuscation technique; location-aware mobile device; location-based service; road network; spatial database; spatial query; target processing; Spatial databases; location privacy; location-based services.; query processing; road networks; spatial anonymity;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/TKDE.2009.48
  • Filename
    4782961