A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks. (arXiv:2201.10500v1 [cs.CR])

Web: http://arxiv.org/abs/2201.10500

Significant progress has been made towards deploying Vehicle-to-Everything
(V2X) technology. Integrating V2X with 5G has enabled ultra-low latency and
high-reliability V2X communications. However, while communication performance
has enhanced, security and privacy issues have increased. Attacks have become
more aggressive, and attackers have become more strategic. Public Key
Infrastructure proposed by standardization bodies cannot solely defend against
these attacks. Thus, in complementary of that, sophisticated systems should be
designed to detect such attacks and attackers. Machine Learning (ML) has
recently emerged …

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