Unsupervised Network Intrusion Detection System for AVTP in Automotive Ethernet Networks

Network Intrusion Detection Systems (NIDSs) are widely regarded as efficient tools for securing in-vehicle networks against diverse cyberattacks. However, since cyberattacks are always evolving, signature-based intrusion detection systems are no longer adopted. An alternative solution can be the dep...

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Vydané v:	2022 IEEE Intelligent Vehicles Symposium (IV) s. 1731 - 1738
Hlavní autori:	Alkhatib, Natasha, Mushtaq, Maria, Ghauch, Hadi, Danger, Jean-Luc
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 05.06.2022
Predmet:	Anomaly Detection Automotive Ethernet AVTP Deep learning Ethernet In-Vehicle Network Network intrusion detection Neural Network Numerical models Real-time systems Telecommunication traffic Transport protocols
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