An interpretable semi-supervised system for detecting cyberattacks using anomaly detection in industrial scenarios.
Ángel Luis Perales GómezLorenzo Fernández MaimóAlberto Huertas CeldránFélix J. García ClementePublished in: IET Inf. Secur. (2023)
Keyphrases
- anomaly detection
- semi supervised
- detecting anomalies
- unsupervised anomaly detection
- detecting anomalous
- intrusion detection
- unsupervised learning
- detect anomalies
- high dimensional data streams
- anomalous behavior
- semi supervised learning
- network intrusion detection
- misuse detection
- computer security
- one class support vector machines
- intrusion detection system
- network traffic
- network security
- supervised learning
- pairwise
- network anomaly detection
- behavior analysis
- labeled data
- active learning
- connectionist systems
- data sets
- probabilistic model
- data analysis
- object recognition
- training data
- real world