On the combination of naive Bayes and decision trees for intrusion detection.
Salem BenferhatKarim TabiaPublished in: CIMCA/IAWTIC (2005)
Keyphrases
- intrusion detection
- naive bayes
- decision trees
- intrusion detection system
- anomaly detection
- logistic regression
- network intrusion detection
- classification accuracy
- classification algorithm
- network security
- network traffic
- combining classifiers
- naive bayes classifier
- cost sensitive
- training data
- probability estimation
- detecting anomalous
- text classification
- bayesian classifier
- base classifiers
- machine learning
- machine learning algorithms
- bayesian networks
- text categorization
- data mining techniques
- neural network
- independence assumption
- random forest
- bayesian network classifiers
- boosted decision trees
- network intrusions
- fraud detection
- training set
- data mining
- ensemble methods
- information extraction
- network attacks
- feature selection