A Deep Learning Approach for Real-Time Intrusion Mitigation in Automotive Controller Area Networks

The digital revolution has profoundly influenced the automotive industry, shifting the paradigm from conventional vehicles to smart cars (SCs). The SCs rely on in-vehicle communication among electronic control units (ECUs) enabled by assorted protocols. The Controller Area Network (CAN) serves as th...

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Veröffentlicht in:	World electric vehicle journal Jg. 16; H. 9; S. 492
Hauptverfasser:	Kousar, Anila, Ahmed, Saeed, Khan, Zafar A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2025
Schlagworte:	Automobiles Control equipment Controller area network Controllers cyber-attacks Cybersecurity Data integrity Data recovery Deep learning deep-denoising autoencoder Electronic control Explainable artificial intelligence Intelligent vehicles Intrusion intrusions mitigation Machine learning Neural networks Real time Sensors Smart cars
ISSN:	2032-6653, 2032-6653
Online-Zugang:	Volltext
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