Table 6 Performance comparison table.
Metric | AD-GS (Proposed) | ML-CA | MLM | ML-IDS | AI-AD | Autoencoder-Based | Bi-LSTM IDS |
|---|---|---|---|---|---|---|---|
Anomaly Detection Accuracy (%) | 97.32 | 85.76 | 70.12 | 65.87 | 55.51 | 90.5 | 94.5 |
False Positive Rate (FPR) (%) | 1.8 | 5.2 | 6.1 | 4.5 | 3.9 | 5.6 | 3.6 |
Response Time Efficiency (%) | 98.4 | 85.0 | 83.7 | 88.3 | 90.6 | 85.2 | 92.0 |
Scalability (No. of Charging Stations Supported) | 500+ | 200 | 180 | 250 | 300 | 200–300 | 400 |
Latency (ms) | 15 | 45 | 55 | 40 | 30 | 50 | 25 |
Data Protection Rate (%) | 97.32 | 55.51 | 70.12 | 65.87 | 85.76 | 93.67 | 96.0 |
Computational Overhead | 10.2 | 15.4 | 18.2 | 14.1 | 12.7 | 18.5 | 11.5 |
