A NSGA2-LR wrapper approach for feature selection in network intrusion detection.
Chaouki KhammassiSaoussen KrichenPublished in: Comput. Networks (2020)
Keyphrases
- network intrusion detection
- feature selection
- intrusion detection
- anomaly detection
- network intrusion
- fraud detection
- artificial immune
- classification accuracy
- logistic regression
- intrusion detection system
- network anomaly detection
- feature ranking
- text categorization
- multi class
- support vector
- network traffic
- feature set
- unsupervised learning
- text classification
- feature space
- network traffic data
- wrapper feature selection
- wrapper method
- feature selection algorithms
- dimensionality reduction
- support vector machine
- feature subset
- network attacks
- knn
- machine learning
- naive bayes
- learning algorithm
- data sets