Accurate network anomaly classification with generalized entropy metrics.
Bernhard TellenbachMartin BurkhartDominik SchatzmannDavid GugelmannDidier SornettePublished in: Comput. Networks (2011)
Keyphrases
- classification accuracy
- machine learning
- automatic classification
- network traffic
- peer to peer
- support vector
- image classification
- class labels
- classification systems
- classification process
- accurate classification
- feature selection
- neural network
- network model
- pattern classification
- anomaly detection
- abnormal events
- decision trees
- feature extraction
- support vector machine
- data sets
- dimensionality reduction
- pattern recognition
- data flow
- preprocessing
- training set
- classification models
- communication networks
- supervised learning
- network structure
- machine learning methods
- classification method
- high accuracy
- benchmark datasets
- machine learning algorithms
- support vector machine svm
- computationally efficient