Network Intrusion Detection and Comparative Analysis Using Ensemble Machine Learning and Feature Selection.
Saikat DasSajal SahaAnnita Tahsin PriyotiEtee Kawna RoyFrederick T. SheldonAnwar HaqueSajjan G. ShivaPublished in: IEEE Trans. Netw. Serv. Manag. (2022)
Keyphrases
- comparative analysis
- network intrusion detection
- feature selection
- machine learning
- intrusion detection
- anomaly detection
- network anomaly detection
- network intrusion
- fraud detection
- network traffic
- feature ranking
- support vector machine
- ensemble learning
- text classification
- model selection
- feature extraction
- intrusion detection system
- artificial immune
- feature set
- learning algorithm
- text categorization
- ensemble classifier
- pattern recognition
- multi class
- wrapper feature selection
- machine learning methods
- knn
- classification accuracy
- feature space
- computational intelligence
- support vector
- computer vision
- data mining
- network intrusions
- semi supervised learning
- dimensionality reduction
- pairwise
- training data
- semi quantitative
- data sets