A novel SVM by combining kernel principal component analysis and improved chaotic particle swarm optimization for intrusion detection.
Fangjun KuangSiyang ZhangZhong JinWeihong XuPublished in: Soft Comput. (2015)
Keyphrases
- intrusion detection
- kernel principal component analysis
- kernel function
- support vector machine svm
- kernel pca
- chaotic particle swarm optimization
- intrusion detection system
- anomaly detection
- kernel methods
- classification method
- support vector
- feature extraction
- principal components
- support vector machine
- feature space
- discriminant analysis
- principal component analysis
- kernel matrix
- preprocessing
- data mining
- feature selection
- data mining techniques
- feature vectors
- high dimensional
- knn
- support vectors
- pattern recognition
- training data
- svm classifier
- k nearest neighbor
- high dimensional feature space
- face recognition
- training set
- association rules
- ls svm
- hyperplane
- input space
- classification algorithm
- neural network