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AVTPnet: Convolutional Autoencoder for AVTP anomaly detection in Automotive Ethernet Networks. (arXiv:2202.00045v1 [cs.LG])
Feb. 2, 2022, 2:20 a.m. | Natasha Alkhatib, Maria Mushtaq, Hadi Ghauch, Jean-Luc Danger
cs.CR updates on arXiv.org arxiv.org
Network Intrusion Detection Systems are well considered as efficient tools
for securing in-vehicle networks against diverse cyberattacks. However, since
cyberattack are always evolving, signature-based intrusion detection systems
are no longer adopted. An alternative solution can be the deployment of deep
learning based intrusion detection system (IDS) which play an important role in
detecting unknown attack patterns in network traffic. To our knowledge, no
previous research work has been done to detect anomalies on automotive ethernet
based in-vehicle networks using anomaly …
More from arxiv.org / cs.CR updates on arXiv.org
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