Feature selection for flow-based intrusion detection using Rough Set Theory.
Frank BeerUlrich BühlerPublished in: ICNSC (2017)
Keyphrases
- rough set theory
- intrusion detection
- feature selection
- rough sets
- intrusion detection system
- anomaly detection
- network security
- attribute reduction
- decision table
- network intrusion detection
- decision rules
- knowledge discovery
- data mining
- network traffic
- information security
- text categorization
- dimensionality reduction
- equivalence relation
- information entropy
- detecting anomalous
- data mining techniques
- network intrusions
- tool for data mining
- alert correlation
- rule extraction
- feature extraction
- data analysis
- unsupervised learning
- discernibility matrix
- support vector machine
- feature selection algorithms
- classification accuracy
- intrusion prevention
- text classification
- model selection
- machine learning
- data reduction
- concept lattice
- naive bayes
- neural network
- decision making
- principal component analysis
- attribute set
- feature space
- feature subset
- high dimensionality
- support vector