Data-driven Anomaly Detection for Railway Propulsion Control Systems.
Ajna HodzicDzenita SkuljAida CausevicPublished in: IECON (2020)
Keyphrases
- learning algorithm
- anomaly detection
- data driven
- control system
- intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- network intrusion detection
- one class support vector machines
- intrusion detection system
- unsupervised anomaly detection
- machine learning
- reinforcement learning
- detecting anomalous
- computer security
- unsupervised learning
- network security
- detect anomalies
- network anomaly detection
- cumulative sum
- genetic algorithm
- network intrusion
- maximum entropy
- behavior analysis
- data sets
- data mining