Forensic Tracking and Mobility Prediction in Vehicular Networks

  • Saif Al-Kuwari
  • Stephen Wolthusen
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 337)


Vehicular networks have attracted significant attention in the context of traffic control and management applications. However, vehicular networks also have important applications in crime prevention and criminal investigations. This paper presents a system for passively tracking a target vehicle whose driver is assumed to be a “person of interest.” The tracking system relies on the dynamic recruitment of neighboring vehicles of the target as agents. A mobility prediction algorithm is used to probabilistically predict the target’s future movement and to adjust the tracking process. Combining agent-based tracking and mobility prediction enables a target vehicle to be passively localized and tracked in an efficient manner.


Vehicular networks passive tracking mobility prediction 


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Copyright information

© International Federation for Information Processing 2010

Authors and Affiliations

  • Saif Al-Kuwari
    • 1
  • Stephen Wolthusen
    • 2
  1. 1.Information Security Group at Royal HollowayUniversity of LondonLondonUnited Kingdom
  2. 2.Norwegian Information Security LaboratoryGjovik University CollegeGjovikNorway

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