Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network. (arXiv:2207.10286v1 [cs.LG])

As the central nerve of the intelligent vehicle control system, the
in-vehicle network bus is crucial to the security of vehicle driving. One of
the best standards for the in-vehicle network is the Controller Area Network
(CAN bus) protocol. However, the CAN bus is designed to be vulnerable to
various attacks due to its lack of security mechanisms. To enhance the security
of in-vehicle networks and promote the research in this area, based upon a
large scale of CAN network …

anomaly anomaly detection arxiv detection learning lg machine machine learning network semi-supervised study supervised machine learning