Table 37 Cross-validation results (5-Fold, Repeated 3 Times) – Fed-IDMF-VANET framework.
From: A hybrid deep learning model for detection and mitigation of DDoS attacks in VANETs
Metric | Mean (%) | Std. Dev (%) |
|---|---|---|
Accuracy | 98.76 | ± 0.19 |
Precision | 98.65 | ± 0.23 |
Recall (Sensitivity) | 98.82 | ± 0.17 |
Specificity | 98.58 | ± 0.21 |
F1-Score | 98.73 | ± 0.18 |
False positive rate | 1.42 | ± 0.21 |
False negative rate | 1.18 | ± 0.17 |
AUC-ROC | 99.15 | ± 0.16 |
MCC | 97.53 | ± 0.27 |
