A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains.
Enrico De SantisFrancesco ArnòAlessio MartinoAntonello RizziPublished in: IJCNN (2022)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- unsupervised learning
- anomalous behavior
- intrusion detection system
- key technologies
- network intrusion detection
- active learning
- semi supervised
- network traffic
- high speed railway
- machine learning
- learning algorithm
- feature extraction
- one class support vector machines