Accurate location information is essential to many vehicular communication based services that depend on accurate position reports sent by vehicles using the road. However, falsified position reports can cause a range of disruptions varying from efficiency of the road network to highly coordinated malicious attacks. In this paper, we present a high fidelity vehicular dynamics dependent method to check for plausibility of position reports and flag their anomalies. Our anomaly detection system uses simulations based on physics of vehicular motion of the transmitting vehicle and physical characteristics of the track such as curvature, length and traction to determine incorrect position reports. Our experiments show that combining knowledge of road geometry and vehicular dynamics, we can achieve 90% detection rate for position implausibilities, 2.7% false positives rate for lateral acceleration errors and also false negative rates of 27.7% and 30% for lateral and longitudinal accelerations respectively.


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    Title :

    Vehicular dynamics based plausibility checking


    Contributors:


    Publication date :

    2017-10-01


    Size :

    295361 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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