Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection.
Fadi SaloMohammadNoor InjadatAbdallah MoubayedAli Bou NassifAleksander EssexPublished in: ICNC (2019)
Keyphrases
- intrusion detection
- anomaly detection
- intrusion detection system
- ensemble feature selection
- network security
- network traffic
- unsupervised learning
- detecting anomalous
- network intrusion detection
- pattern recognition
- machine learning
- classification accuracy
- decision trees
- data mining
- clustering algorithm
- text classification
- k means
- support vector machine
- data mining techniques
- network attacks
- generalization ability
- high dimensionality
- training samples
- knowledge discovery
- machine learning methods
- outlier detection
- classification algorithm
- svm classifier
- clustering method
- multi class
- model selection
- genetic search
- machine learning algorithms
- genetic algorithm