arXiv Machine Learning August 19, 2026 By Araf Rahman, M Sabbir Salek, Mashrur Chowdhury

Digital Twin-Based Intrusion Detection for Vehicle Powertrain CAN Bus Systems

Read the original on arXiv Machine Learning →

arXiv:2608. 17093v1 Announce Type: cross Abstract: Existing automotive intrusion detection systems (IDSs) for the Controller Area Network (CAN) largely target discrepancies in message timing, frequency, or sequencing and cannot detect attacks that preserve these properties while manipulating the payload.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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Behavioral Residualization for Unsupervised Intrusion Detection in Automotive CAN Networks

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