High-dimensional and wide-scale anomaly detection using enhancing support vector machine.
Ibrahim GumusYahya SirinPublished in: SIU (2018)
Keyphrases
- anomaly detection
- high dimensional
- support vector machine
- intrusion detection
- detecting anomalies
- network intrusion detection
- feature space
- one class support vector machines
- anomalous behavior
- network traffic
- network anomaly detection
- unsupervised anomaly detection
- intrusion detection system
- kernel function
- behavior analysis
- computer security
- multi class
- feature vectors
- unsupervised learning
- detecting anomalous
- detect anomalies
- negative selection algorithm
- svm classifier
- data points
- support vector
- training data
- feature selection
- normal behavior
- machine learning
- training set