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Intelligent Misbehavior Detection System for Detecting False Position Attacks in Vehicular Networks
2021
2021 IEEE International Conference on Communications Workshops (ICC Workshops)
Position falsification attacks are one of the most dangerous internal attacks in vehicular networks. Several Machine Learning-based Misbehavior Detection Systems (ML-based MDSs) have recently been proposed to detect these attacks and mitigate their impact. However, existing ML-based MDSs require numerous features, which increases the computational time needed to detect attacks. In this context, this paper introduces a novel ML-based MDS for the early detection of position falsification attacks.
doi:10.1109/iccworkshops50388.2021.9473606
fatcat:53jjqgb2efeqjj7d7ncgezguaq