Kernel PCA Based Network Intrusion Feature Extraction and Detection Using SVM.
Hai-Hua GaoHui-Hua YangXing-Yu WangPublished in: ICNC (2) (2005)
Keyphrases
- network intrusion
- feature extraction
- support vector
- support vector machine svm
- feature space
- kernel function
- anomaly detection
- network intrusion detection
- principle component analysis
- principal component analysis
- intrusion detection
- feature vectors
- kernel methods
- kernel pca
- kernel support vector machines
- network intrusion detection systems
- feature selection
- svm classification
- svm classifier
- kernel principal component analysis
- support vector machine
- kernel space
- rbf kernel
- kernel parameters
- kernel machines
- image classification
- network security
- fraud detection
- knn
- detection algorithm
- linear discriminant analysis
- principal components
- information retrieval
- face recognition
- training set
- classification accuracy
- multiple kernel learning
- network traffic
- machine learning
- dimensionality reduction
- support vectors
- cost sensitive
- pattern recognition
- multi class
- intrusion detection system
- training data
- histogram intersection kernel