• DocumentCode
    704982
  • Title

    Privacy Preserving Nearest Neighbor Search Based on Topologies in Cellular Networks

  • Author

    Firoozjaei, Mahdi Daghmechi ; Jaegwan Yu ; Hyoungshick Kim

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Sungkyunkwan Univ., Suwon, South Korea
  • fYear
    2015
  • fDate
    24-27 March 2015
  • Firstpage
    146
  • Lastpage
    149
  • Abstract
    As the popularity of location-based services (LBSes) is increasing, the location privacy has become a main concern. Among the rich collection of location privacy techniques, the spatial cloaking is one of the most popular techniques. In this paper, we propose a new spatial cloaking technique to hide a user´s location under a cloaking of the serving base station (SeNB) and anonymize SeNB with a group of dummy locations in the neighboring group of another base station as central eNB (CeNB). Unlike the most existing approaches for selecting a dummy location, such as the center of a virtual circle, we select a properly chosen dummy location from real locations of eNBs to minimize side information for an adversary. Our experimental results show that the proposed scheme can achieve a reasonable degree of accuracy (>96%) for nearest neighbor services while providing a high level of location privacy.
  • Keywords
    cellular neural nets; data privacy; mobile computing; CeNB; LBSes; SeNB; base station; cellular networks; central eNB; dummy location; location privacy techniques; location-based services; privacy preserving nearest neighbor search; serving base station; spatial cloaking technique; virtual circle; Conferences; Google; Monte Carlo methods; Nearest neighbor searches; Network topology; Privacy; Topology; Location-based service (LBS); anonymity; dummy location; eNode B (eNB); spatial cloaking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops (WAINA), 2015 IEEE 29th International Conference on
  • Conference_Location
    Gwangiu
  • Print_ISBN
    978-1-4799-1774-7
  • Type

    conf

  • DOI
    10.1109/WAINA.2015.22
  • Filename
    7096162