Advances, Systems and Applications
Table 7 Performance of recent existing methods used with AV systems
From: Security strategy for autonomous vehicle cyber-physical systems using transfer learning
Research Paper | Dataset | Methods | Performance | Metric |
|---|---|---|---|---|
Al-Haija et al. [55] | DAWN2020 and MCWRD2018 | ResNet-50 | 98.41% | FScore |
Abd et al. [56] | Car Test-Bed and Network | ANN | 92.10% | Accuracy |
GAD et al. [57] | ToN-IoT | XGBoost | 98.70% | FScore |
Pascale et al. [59] | Carla simulation, KIA SOUL | Bayesian network | 97.80% | FScore |
Yang et al. [60] | Car-Hacking and CICIDS2017 | Pre-trained CNNs | 99.25% | FScore |
Jeong et al. [58] | The AVTP intrusion | CNN | 99.27% | FScore |
Proposed Models | AV-CPS | GoogLeNet | 99.47% | FScore |