Super Learner Ensemble for Anomaly Detection and Cyber-Risk Quantification in Industrial Control Systems.
Gabriela Ahmadi-AssalemiHaider M. Al-KhateebGregory EpiphaniouAmar AggounPublished in: IEEE Internet Things J. (2022)
Keyphrases
- anomaly detection
- control system
- one class support vector machines
- intrusion detection
- cyber security
- critical infrastructure
- intrusion detection system
- anomalous behavior
- detecting anomalies
- network intrusion detection
- unsupervised anomaly detection
- network traffic
- computer security
- unsupervised learning
- ensemble methods
- behavior analysis
- learning environment
- neural network
- detect anomalies
- detecting anomalous
- ensemble learning
- high risk
- risk factors
- learning process
- pattern recognition
- network security
- semi supervised
- network intrusion
- network anomaly detection
- negative selection algorithm
- data mining
- training set
- training data
- feature selection