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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