MADICS: A Methodology for Anomaly Detection in Industrial Control Systems.
Ángel Luis Perales GómezLorenzo Fernández MaimóAlberto Huertas CeldránFélix J. García ClementePublished in: Symmetry (2020)
Keyphrases
- anomaly detection
- control system
- intrusion detection
- detecting anomalies
- network traffic
- network intrusion detection
- intrusion detection system
- behavior analysis
- industrial automation
- computer security
- unsupervised anomaly detection
- one class support vector machines
- anomalous behavior
- network anomaly detection
- detecting anomalous
- unsupervised learning
- normal behavior
- detect anomalies
- decision trees
- machine learning
- negative selection algorithm
- critical infrastructure
- malware detection
- text classification
- computer vision
- connectionist systems
- neural network