Cascade stacked autoencoder neural network for intrusion detection in CAN-FD vehicular network

In this work, an Intrusion Detection System (IDS) for Controller Area Network with Flexible Data Rate (CAN-FD) Vehicle Networks based on hybrid Deep Learning (DL) is proposed. Initially, the CAN-FD vehicular network simulation is carried out, and then, the authentication protocol is utilized to incr...

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Veröffentlicht in:	Knowledge-based systems Jg. 329; S. 114301
Hauptverfasser:	Devi, V. Anjana, Reddy, P.V. Bhaskar, Ponnada, Sreenu, Kumar, K. Suresh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 04.11.2025
Schlagworte:	Cascade stacked autoencoder neural network Deep neuro fuzzy network Deep stacked autoencoder Intrusion detection System Z-score normalization Intrusion detection System Deep neuro fuzzy network Deep stacked autoencoder Z-score normalization Cascade stacked autoencoder neural network
ISSN:	0950-7051
Online-Zugang:	Volltext
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