Dynamic Resampling Based Boosting Random Forest for Network Anomaly Traffic Detection.
Huajuan RenRuimin WangWeiyu DongJunhao LiYonghe TangPublished in: IEA/AIE (2) (2023)
Keyphrases
- random forest
- network traffic
- anomaly detection
- ensemble methods
- random forests
- ensemble learning
- detect anomalies
- decision trees
- base classifiers
- rotation forest
- intrusion detection
- ensemble classifier
- feature set
- decision tree learning algorithms
- multi label
- object detection
- multi class
- normal behavior
- computer vision
- fold cross validation
- neural network
- intrusion detection system
- machine learning methods
- generalization ability
- machine learning algorithms
- training set
- feature importance