Anomaly detection using fuzzy association rules.
M. Dolores RuizMaría J. Martín-BautistaDaniel SánchezMaría Amparo Vila MirandaMiguel DelgadoPublished in: Int. J. Electron. Secur. Digit. Forensics (2014)
Keyphrases
- anomaly detection
- fuzzy association rules
- association rules mining
- anomalous behavior
- intrusion detection
- association rules
- fuzzy sets
- mining algorithm
- detect anomalies
- rule mining
- interestingness measures
- network intrusion detection
- detecting anomalies
- one class support vector machines
- intrusion detection system
- network traffic
- membership functions
- data mining tools
- network anomaly detection
- negative selection algorithm
- unsupervised learning
- attribute values
- association rule mining
- normal behavior
- model selection
- maximum likelihood
- fuzzy logic
- knowledge discovery
- artificial intelligence
- genetic algorithm
- data sets