A Hybrid Physics-Based Data-Driven Framework for Anomaly Detection in Industrial Control Systems.
M. R. Gauthama RamanAditya P. MathurPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2022)
Keyphrases
- anomaly detection
- data driven
- intrusion detection
- control system
- detecting anomalies
- unsupervised anomaly detection
- network anomaly detection
- network intrusion detection
- network traffic
- data assimilation
- intrusion detection system
- network security
- unsupervised learning
- network intrusion
- probabilistic model
- detecting anomalous
- data mining
- malware detection
- computational intelligence
- negative selection algorithm
- data analysis
- pattern recognition