Building an efficient intrusion detection system based on feature selection and ensemble classifier.
Yuyang ZhouGuang ChengShanqing JiangMian DaiPublished in: Comput. Networks (2020)
Keyphrases
- intrusion detection system
- ensemble classifier
- feature selection
- intrusion detection
- anomaly detection
- ensemble learning
- distributed intrusion detection
- classification models
- network traffic
- ensemble methods
- random forest
- concept drift
- base classifiers
- support vector machine
- decision stumps
- support vector
- preprocessing step
- text categorization
- computer systems
- multi class
- data mining
- text classification
- feature set
- machine learning
- fusion method
- feature extraction
- classification accuracy
- unsupervised learning
- data mining techniques
- data streams
- feature space