Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection.
Ngan TranHaihua ChenJiang JanetJay BhuyanJunhua DingPublished in: Int. J. Perform. Eng. (2021)
Keyphrases
- network intrusion detection
- class imbalance
- machine learning
- active learning
- cost sensitive
- fraud detection
- cost sensitive learning
- class distribution
- anomaly detection
- intrusion detection
- network intrusion
- intrusion detection system
- feature selection
- network traffic
- pattern recognition
- high dimensionality
- minority class
- sampling methods
- text mining
- decision trees
- machine learning methods
- machine learning algorithms
- information extraction
- concept drift
- bayesian networks
- training data
- data sets
- naive bayes
- unsupervised learning
- reinforcement learning
- model selection
- text classification
- dimensionality reduction
- real world
- multi class