Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection.
Aniss ChohraParia ShiraniElMouatez Billah KarbabMourad DebbabiPublished in: Comput. Secur. (2022)
Keyphrases
- ensemble methods
- network anomaly detection
- feature selection
- feature subset
- ensemble feature selection
- ensemble learning
- anomaly detection
- network intrusion detection
- prediction accuracy
- ensemble classification
- ensemble classifier
- benchmark datasets
- decision trees
- machine learning methods
- random forests
- random forest
- base classifiers
- self organizing maps
- classification accuracy
- text categorization
- machine learning
- feature selection algorithms
- feature set
- base learners
- text classification
- feature space
- support vector
- support vector machine
- bootstrap sampling
- intrusion detection
- meta learning
- unsupervised learning
- feature extraction
- genetic algorithm ga
- naive bayes
- knn
- k nearest neighbor
- alert correlation
- face recognition
- dimensionality reduction
- multi class