Fig 1.
Training Process Flowchart for AnomLocal.
Table 1.
Important Features of the UNSW-NB15 Dataset.
Fig 2.
Table 2.
Detailed Neural Network Architecture of AnomLocal.
Fig 3.
System Model Diagram of Proposed Model.
Table 3.
Evaluation Metrics and Formulas.
Table 4.
Accuracy Results for AnomLocal.
Fig 4.
Accuracy Comparison across Different Models.
Table 5.
Precision Results for AnomLocal.
Fig 5.
Precision Metrics for Proposed Models.
Table 6.
Recall Results for AnomLocal.
Fig 6.
Recall Performance Evaluation across Detection Models.
Table 7.
F1-Score Results for AnomLocal.
Fig 7.
F1-Score Distribution among Different Anomaly Detection Models.
Table 8.
False Positive Rate (FPR) for AnomLocal.
Fig 8.
False Positive Rate (FPR) Analysis for Comparative Models.
Table 9.
Detection Latency for AnomLocal.
Fig 9.
Latency Reduction across Anomaly Detection Models.
Table 10.
AUC-ROC for AnomLocal.
Fig 10.
Comparative AUC-ROC Analysis AnomLocal.
Fig 11.
Confusion Matrix for AnomLocal.
Fig 12.
Overall Performance of AnomLocal Model.
Table 11.
Comparison of AnomLocal with Recent Federated and Hybrid Anomaly Detection Models.
Fig 13.
Performance Comparison of AnomLocal and Other Models.
Table 12.
Cross-Validation Results for AnomLocal and Baseline Models.
Table 13.
Performance across Different Data Splits.