Table 18 Analysis of the proposed mitigation approach over the existing approaches in terms of adaptive adversarial attacks.
From: A hybrid deep learning model for detection and mitigation of DDoS attacks in VANETs
Method | Detection Accuracy (%) | Mitigation Efficiency (%) | False Positive Rate (%) | Adaptation Time (s) |
|---|---|---|---|---|
Rule-based IPS | 78% | 82% | 15% | Not Adaptive |
ADS | 85% | 88% | 10% | Slow (Static Models) |
ML-IDS | 90% | 92% | 7% | Moderate (Limited to Training Data) |
RL-IPS (Proposed) | 97.5% | 96% | 4.3% | Fast (Dynamic Learning in 4.5Â s) |
