A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios.
Ángel Luis Perales GómezLorenzo Fernández MaimóFélix J. García ClementeJavier Alejandro Maroto MoralesAlberto Huertas CeldránGérôme BovetPublished in: IEEE Access (2022)
Keyphrases
- digital image watermarking
- intrusion detection
- anomaly detection
- object detection
- countermeasures
- industrial applications
- geometric attacks
- design methodology
- watermarking algorithm
- real world
- network traffic
- object recognition
- information systems
- security protocols
- normal behavior
- anomalous behavior
- neural network