Anomaly behavior detection and reliability assessment of control systems based on association rules.
Xinchun JieHaikuan WangMinrui FeiDajun DuQing SunTai C. YangPublished in: Int. J. Crit. Infrastructure Prot. (2018)
Keyphrases
- reliability assessment
- association rules
- anomaly detection
- control system
- abnormal behavior
- normal behavior
- association rule mining
- detection algorithm
- automatic detection
- itemsets
- detection accuracy
- detection method
- object detection
- knowledge discovery
- data mining
- false alarms
- human behavior
- association rules mining
- false positives
- power system
- event detection
- detection rate
- intrusion detection
- association mining
- bp neural network model
- detect anomalies
- behavior analysis
- optimization algorithm
- particle swarm optimization
- expert systems
- artificial intelligence
- genetic algorithm
- machine learning