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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Vydané v:	World electric vehicle journal Ročník 16; číslo 9; s. 492
Hlavní autori:	Kousar, Anila, Ahmed, Saeed, Khan, Zafar A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2025
Predmet:	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
On-line prístup:	Získať plný text
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