Distributed on-line anomaly detection using kernel methods.
Anthony KuhTyler BaguioPublished in: APSIPA ASC (2023)
Keyphrases
- anomaly detection
- kernel methods
- intrusion detection
- kernel function
- learning problems
- support vector
- anomalous behavior
- detecting anomalies
- network intrusion detection
- machine learning
- network traffic
- support vector machine
- learning tasks
- feature space
- kernel matrix
- network anomaly detection
- reproducing kernel hilbert space
- detect anomalies
- intrusion detection system
- unsupervised learning
- computer networks
- negative selection algorithm
- one class support vector machines
- kernel matrices
- high dimensional feature space
- misuse detection
- normal behavior
- kernel pca
- supervised learning
- semi supervised
- data sources
- pattern recognition
- decision trees