Intrusion detection in MANET using classification algorithms: The effects of cost and model selection.
Aikaterini MitrokotsaChristos DimitrakakisPublished in: Ad Hoc Networks (2013)
Keyphrases
- model selection
- intrusion detection
- cross validation
- bayesian methods
- machine learning
- intrusion detection system
- sample size
- anomaly detection
- unsupervised learning
- bayesian learning
- network traffic
- regression model
- network intrusion detection
- hyperparameters
- generalization bounds
- network security
- credit card fraud detection
- learning algorithm
- selection criterion
- data mining
- high detection rate
- model selection criteria
- outlier mining
- generalization error
- cost sensitive
- text classification
- classification accuracy
- feature selection
- computer networks
- mixture model
- multi class
- information criterion
- marginal likelihood
- network intrusion
- feature space
- databases
- detecting anomalous