LSF-IDM: Lightweight Deep Learning Models for Automotive Intrusion Detection Model Based on Semantic Fusion. (arXiv:2308.01237v1 [cs.CR])

Autonomous vehicles (AVs) are more vulnerable to network attacks due to the
high connectivity and diverse communication modes between vehicles and external
networks. Deep learning-based Intrusion detection, an effective method for
detecting network attacks, can provide functional safety as well as a real-time
communication guarantee for vehicles, thereby being widely used for AVs.
Existing works well for cyber-attacks such as simple-mode but become a higher
false alarm with a resource-limited environment required when the attack is
concealed within a contextual …

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