Feature selection for intrusion detection using new multi-objective estimation of distribution algorithms.
Sofiane MazaMohamed TouahriaPublished in: Appl. Intell. (2019)
Keyphrases
- intrusion detection
- estimation of distribution algorithms
- multi objective
- feature selection
- feature subset selection
- multi objective optimization
- evolutionary algorithm
- intrusion detection system
- anomaly detection
- optimization algorithm
- evolutionary computation
- network traffic
- feature subset
- network security
- particle swarm optimization
- genetic algorithm
- network intrusion detection
- objective function
- feature set
- feature extraction
- support vector
- selected features
- data mining techniques
- text classification
- detecting anomalous
- particle swarm optimization algorithm
- machine learning
- feature selection algorithms
- combinatorial optimization
- support vector machine
- network intrusions
- data mining
- network attacks
- intrusion prevention
- unsupervised learning
- model selection
- simulated annealing
- knn
- differential evolution
- fitness function
- naive bayes
- classification accuracy