Crafting Adversarial Samples for Anomaly Detectors in Industrial Control Systems.
Ángel Luis Perales GómezLorenzo Fernández MaimóAlberto Huertas CeldránFélix J. García ClementeFrances ClearyPublished in: ANT/EDI40 (2021)
Keyphrases
- control system
- industrial automation
- object detection
- anomaly detection
- multi agent
- industrial applications
- intrusion detection
- data sets
- critical infrastructure
- data samples
- training samples
- network traffic
- training set
- detecting anomalies
- sample set
- quality improvement
- technology transfer
- industrial environment
- sample points
- multi class
- mobile robot
- case study
- decision trees
- neural network