Mining association rules for anomaly detection in dynamic process runtime behavior and explaining the root cause to users.
Kristof BöhmerStefanie Rinderle-MaPublished in: Inf. Syst. (2020)
Keyphrases
- anomaly detection
- mining association rules
- root cause
- behavior analysis
- intrusion detection
- network intrusion detection
- anomalous behavior
- detecting anomalies
- intrusion detection system
- detecting anomalous
- network traffic
- association rules
- normal behavior
- pattern recognition
- data mining
- one class support vector machines
- negative selection algorithm
- object recognition
- information systems
- learning algorithm
- network anomaly detection
- data sets