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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Bibliographic Details

Published in:	2022 IEEE Intelligent Vehicles Symposium (IV) pp. 1731 - 1738
Main Authors:	Alkhatib, Natasha, Mushtaq, Maria, Ghauch, Hadi, Danger, Jean-Luc
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.06.2022
Subjects:	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
Online Access:	Get full text
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