An integrated approach to network intrusion detection with block clustering analysis, generalised logistic regression and linear discriminant analysis.
Zhanshan (Sam) MaPublished in: Int. J. Inf. Comput. Secur. (2010)
Keyphrases
- logistic regression
- network intrusion detection
- clustering analysis
- linear discriminant analysis
- anomaly detection
- support vector
- discriminant analysis
- intrusion detection
- face recognition
- involving high dimensional data
- clustering method
- dimension reduction
- principal component analysis
- decision trees
- dimensionality reduction
- intrusion detection system
- cluster analysis
- microarray
- feature extraction
- fuzzy clustering
- loss function
- feature space
- high dimensional data
- support vector machine svm
- naive bayes
- data clustering
- fraud detection
- clustering algorithm
- data mining
- unsupervised learning
- classification accuracy
- feature selection
- k means
- databases
- data sets
- classification and regression trees
- object recognition
- computer vision
- least squares
- rough sets