A hybrid deep learning and residual connection-based architecture for intrusion detection in autonomous vehicles
Table 7
Summary of model performance averaged across three random seeds (11, 42, 99) for each attack type in the HCRL Car-Hacking dataset. Values represent mean ± standard deviation over independently trained models, showing consistent near-perfect detection performance and negligible inter-seed variance.