Enhancing SVM performance in intrusion detection using optimal feature subset selection based on genetic principal components.
Iftikhar AhmadMuhammad HussainAbdullah S. AlghamdiAbdulhameed AlelaiwiPublished in: Neural Comput. Appl. (2014)
Keyphrases
- intrusion detection
- principal components
- feature subset selection
- feature subset
- feature selection
- kernel space
- intrusion detection system
- anomaly detection
- estimation of distribution algorithms
- principal component analysis
- network security
- network intrusion detection
- selected features
- network traffic
- feature set
- dimensionality reduction
- support vector
- support vector machine svm
- detecting anomalous
- feature space
- optimal solution
- svm classifier
- alert correlation
- network intrusions
- classification accuracy
- data mining
- network attacks
- kernel function
- covariance matrix
- unsupervised learning
- support vector machine
- selection algorithm
- neural network
- machine learning
- pattern recognition
- feature vectors
- evolutionary algorithm
- active learning
- multi class
- data mining techniques
- text classification
- classification algorithm