Resampling imbalanced data for network intrusion detection datasets.
Sikha BaguiKunqi LiPublished in: J. Big Data (2021)
Keyphrases
- imbalanced data
- network intrusion detection
- imbalanced datasets
- anomaly detection
- intrusion detection
- fraud detection
- sampling methods
- linear regression
- class distribution
- class imbalance
- classification models
- intrusion detection system
- support vector machine
- feature selection
- random forest
- ensemble methods
- network traffic
- multi class
- decision trees
- base classifiers
- minority class
- feature extraction