Network Anomaly Detection Based on an Ensemble of Adaptive Binary Classifiers.
Alexander BranitskiyIgor V. KotenkoPublished in: MMM-ACNS (2017)
Keyphrases
- binary classifiers
- network anomaly detection
- multi class
- binary classification
- binary classification problems
- network intrusion detection
- ensemble methods
- anomaly detection
- self organizing maps
- multi class classification
- training data
- training samples
- neural network
- cross validation
- svm classifier
- feature selection
- learning algorithm
- hyperplane
- base classifiers
- intrusion detection
- maximum likelihood
- high dimensional
- machine learning