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Using Deep Learning to Secure The CAN Bus From Advanced Intrusion Attacks

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A technical paper titled “CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level” was published by researchers at Virginia Tech and others.

“As modern vehicles become more connected to external networks, the attack surface of the CAN bus system grows drastically. To secure the CAN bus from advanced intrusion attacks, we propose a signal-level intrusion detection framework, CANShield,” states the paper.

Find the technical paper here. Published August 2023.

M. H. Shahriar, Y. Xiao, P. Moriano, W. Lou and Y. T. Hou, “CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level,” in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3303271.

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