STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles. (arXiv:2204.10990v2 [cs.CR] UPDATED)

Intrusion detection is an important defensive measure for automotive
communications security. Accurate frame detection models assist vehicles to
avoid malicious attacks. Uncertainty and diversity regarding attack methods
make this task challenging. However, the existing works have the limitation of
only considering local features or the weak feature mapping of multi-features.
To address these limitations, we present a novel model for automotive intrusion
detection by spatial-temporal correlation features of in-vehicle communication
traffic (STC-IDS). Specifically, the proposed model exploits an
encoding-detection architecture. …

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