Biased Support Vector Machines and Kernel Methods for Intrusion Detection.
Krishna YendrapalliSrinivas MukkamalaAndrew H. SungBernardete RibeiroPublished in: World Congress on Engineering (2007)
Keyphrases
- kernel methods
- intrusion detection
- support vector
- learning machines
- kernel function
- intrusion detection system
- anomaly detection
- support vector machine
- kernel matrix
- learning problems
- network traffic
- kernel parameters
- network intrusion detection
- machine learning
- kernel matrices
- high detection rate
- network security
- detecting anomalous
- reproducing kernel hilbert space
- data mining
- support vector regression
- alert correlation
- network intrusion
- maximum margin
- pairwise
- neural network
- intrusion prevention
- reduced set
- graph kernels
- kernel learning
- hyperplane
- computer networks
- svm classifier
- loss function
- multi class
- pattern recognition