Unsupervised SVM Based on p-kernels for Anomaly Detection.
Kunlun LiGuifa TengPublished in: ICICIC (2) (2006)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- unsupervised learning
- support vector
- novelty detection
- intrusion detection
- one class support vector machines
- network intrusion detection
- anomalous behavior
- semi supervised
- network traffic
- detecting anomalies
- kernel function
- kernel methods
- network anomaly detection
- behavior analysis
- computer security
- support vector machine
- intrusion detection system
- detecting anomalous
- malware detection
- svm classifier
- support vector machine svm
- negative selection algorithm
- active learning
- supervised learning
- normal behavior
- detect anomalies
- network intrusion
- feature space
- pattern recognition
- network security
- machine learning
- model selection
- cumulative sum
- face recognition