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. On the other hand, vehicle tracking is useful in traffic efficiency and fleet management applications. 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 to be able to gain benefits of vehicle tracking.     «

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. On the other hand, vehicle tracking is useful in traffic efficiency and fleet management applications. In this p...     »