Table 38 Comparative performance (Mean ± Std. Dev Across 15 Runs).
From: A hybrid deep learning model for detection and mitigation of DDoS attacks in VANETs
Model | Accuracy (%) | F1-Score (%) | AUC (%) | MCC (%) |
|---|---|---|---|---|
Fed-IDMF-VANET | 98.76 ± 0.19 | 98.73 ± 0.18 | 99.15 ± 0.16 | 97.53 ± 0.27 |
CNN | 93.65 ± 0.48 | 93.12 ± 0.53 | 94.88 ± 0.46 | 89.22 ± 0.55 |
LSTM | 94.28 ± 0.45 | 93.79 ± 0.49 | 95.34 ± 0.43 | 90.13 ± 0.52 |
RF | 95.72 ± 0.36 | 95.49 ± 0.38 | 96.65 ± 0.35 | 92.45 ± 0.41 |
DeepFed | 96.13 ± 0.33 | 95.88 ± 0.35 | 97.21 ± 0.31 | 93.19 ± 0.38 |
FedAvg | 95.87 ± 0.39 | 95.64 ± 0.42 | 96.89 ± 0.36 | 92.83 ± 0.43 |
