Signature-Based Anomaly intrusion detection using Integrated data mining classifiers.
Warusia YassinNur Izura UdzirAzizol AbdullahMohd Taufik AbdullahHazura ZulzalilZaiton MudaPublished in: ISBAST (2014)
Keyphrases
- data mining
- intrusion detection
- meta learning
- training data
- discrimination aware
- decision trees
- network intrusion detection
- support vector
- knowledge discovery
- supervised classification
- linear classifiers
- rough sets
- data mining techniques
- machine learning algorithms
- training set
- machine learning
- data mining methods
- network traffic
- classification algorithm
- data mining algorithms
- test set
- training samples
- feature selection
- association rules
- multiple classifiers
- classification systems
- fraud detection
- relative merits
- real world
- classification models
- data mining applications
- naive bayes
- data analysis
- cost sensitive
- classification method
- anomaly detection
- active learning
- bayesian networks