Improving Performance of Anomaly-Based IDS by Combining Multiple Classifiers.
Kazuya KishimotoHirofumi YamakiHiroki TakakuraPublished in: SAINT (2011)
Keyphrases
- combining multiple
- multiple classifiers
- individual classifiers
- combining classifiers
- intrusion detection
- fusion methods
- anomaly detection
- intrusion detection system
- fusion framework
- network traffic
- training data
- decision trees
- feature selection
- normal behavior
- machine learning algorithms
- naive bayes
- feature set
- training set
- class labels
- classifier combination
- high dimensional
- support vector