A Combination of PSO-Based Feature Selection and Tree-Based Classifiers Ensemble for Intrusion Detection Systems.
Bayu Adhi TamaKyung Hyune RheePublished in: CSA/CUTE (2015)
Keyphrases
- feature selection
- intrusion detection system
- intrusion detection
- ensemble classifier
- network security
- ensemble learning
- feature ranking
- anomaly detection
- computer networks
- network traffic
- multiple classifier systems
- feature set
- combining classifiers
- naive bayes
- support vector
- network intrusion detection
- computer security
- classifier ensemble
- training data
- feature subset
- distributed intrusion detection
- machine learning
- text categorization
- feature selection algorithms
- computer systems
- network intrusion detection systems
- classification accuracy
- classification models
- multi class
- support vector machine
- random forest
- attack detection
- ensemble methods
- base classifiers
- ensemble pruning
- model selection
- feature space
- feature extraction
- classifier combination
- alert correlation
- cyber attacks
- text classification
- intrusion prevention
- training set
- knn
- learning algorithm
- misuse detection
- feature reduction
- data mining
- dimensionality reduction
- neural network
- security architecture
- cyber security
- decision trees
- data analysis
- svm classifier