CANMentor large-small model collaboration for CAN bus IDS
CANMentor framework uses cloud LLM to supervise vehicle-side lightweight IDS models via knowledge distillation, yielding up to 25% F1 gains on non-IID data.
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CANMentor framework uses cloud LLM to supervise vehicle-side lightweight IDS models via knowledge distillation, yielding up to 25% F1 gains on non-IID data.
Six local flaws are fixed in version 5.1.4; CISA lists medium CVSS scores and no exploitation status.
An event-native spike encoding framework lets recurrent spiking neural networks run intrusion detection directly on heterogeneous packet and CAN bus streams.
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