Network Intrusion Detection Using Wrapper-based Decision Tree for Feature Selection.
Mubarak Albarka UmarZhanfang ChenYan LiuPublished in: CoRR (2020)
Keyphrases
- network intrusion detection
- feature selection
- decision trees
- information gain
- intrusion detection
- network intrusion
- anomaly detection
- classification models
- machine learning
- naive bayes
- text categorization
- fraud detection
- mutual information
- intrusion detection system
- classification accuracy
- artificial immune
- decision tree algorithm
- feature ranking
- feature selection algorithms
- support vector machine
- network anomaly detection
- feature subset
- feature set
- text classification
- network traffic data
- feature space
- network attacks
- network traffic
- dimensionality reduction
- wrapper method
- unsupervised learning
- random forest
- support vector
- wrapper feature selection
- multi class
- network security
- training set
- databases
- information extraction
- feature extraction
- cost sensitive
- information systems
- model selection
- supervised learning