LCSMC-Net: Lightweight CAN Intrusion Detection via Separable Multiscale Convolution and Attention

The Controller Area Network (CAN) protocol lacks native authentication mechanisms, exposing modern vehicles to critical security threats. While deep learning-based intrusion detection systems show promise, existing solutions require computational resources far exceeding automotive-grade microcontrol...

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Autori principali:	Mengdi Hou, Bitie Lan, Chenghua Tang, Jianbo Huang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-02-01
Serie:	Sensors
Soggetti:	CAN bus security intrusion detection lightweight neural networks embedded systems automotive cybersecurity knowledge distillation
Accesso online:	https://www.mdpi.com/1424-8220/26/4/1399
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