Research Article
Localization and Detection of Multiple Attacks in Wireless Sensor Networks Using Artificial Neural Network
Table 12
Comparison performance of machine learning models using the CICIDS2017 benchmark dataset.
| | Classifier | ML models results | Hybrid PTE-BO ML model results | | Accuracy | Precision | Recall | F1-score | Accuracy | Precision | Recall | F1-score |
| | XGBoost | 99.82 | 99.82 | 99.82 | 99.80 | 99.82 | 99.86 | 99.82 | 99.83 | | Ensemble stacking | 99.82 | 99.91 | 99.82 | 99.85 | 99.82 | 99.91 | 99.82 | 99.85 | | Random forest | 99.77 | 99.77 | 99.77 | 99.75 | 99.82 | 99.82 | 99.82 | 99.80 | | Decision tree | 99.77 | 99.77 | 99.77 | 99.75 | 99.82 | 99.91 | 99.82 | 99.85 | | Extra tree | 99.82 | 99.82 | 99.82 | 99.80 | 99.82 | 99.80 | 99.82 | 99.80 |
|
|