• DocumentCode
    137519
  • Title

    Privacy-Preserving Spatial Trajectory Prediction

  • Author

    Wen-Chen Hu ; Kaabouch, Naima ; Mousavinezhad, S. Hossein ; Hung-Jen Yang

  • Author_Institution
    Dept. of Comput. Sci., Univ. of North Dakota Grand Forks, Grand Forks, ND, USA
  • fYear
    2014
  • fDate
    15-16 May 2014
  • Firstpage
    69
  • Lastpage
    73
  • Abstract
    One of the location-based services, spatial trajectory prediction, can be used in a variety of purposes such as travel recommendations and traffic control and planning, but at the same time, just like most location-based services, the concern of user privacy is a major issue. Without rigorous privacy protection, users would be reluctant to use the services. This research proposes a privacy-preserving method of predicting a spatial trajectory based on the current and previous trajectories by using a matrix representation. Preliminary experimental results show this method is effective and secure for spatial trajectory prediction.
  • Keywords
    data privacy; information services; matrix algebra; location-based services; matrix representation; privacy protection; privacy-preserving spatial trajectory prediction; traffic control; traffic planning; travel recommendation; user privacy; Educational institutions; Mobile radio mobility management; Privacy; Servers; Three-dimensional displays; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Research Collaboration Symposium (NWRCS), 2014 National
  • Conference_Location
    Idaho Falls, ID
  • Type

    conf

  • DOI
    10.1109/NWRCS.2014.17
  • Filename
    6942506