Vehicle tracking using vehicular network beacons

Emara K. ; Wolfgang Woerndl 


Location privacy is one of the main challenges in vehicular ad hoc networks (VANET), which aims to protect vehicles from being tracked. Most of research work concerns changing pseudonyms efficiently to avoid linking messages through them. However, the sensitive information the vehicles send periodically in beacons make them vulnerable to tracking even if beacons are totally anonymous. In this paper, we used the nearest neighbor probabilistic data association (NNPDA) technique to track vehicles through information sent in anonymous beacons. We evaluated the implemented tracker against different vehicle densities, speeds, beacon rates, random noises and packet delivery ratios. The achieved tracking accuracy asserts the necessity of securing beacon messages from global observer attacks. © 2013 IEEE.

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Issue Date 16-Sep-2013
Conference 2013 IEEE 14th International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2013 
ISBN 9781467358279

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