Predicting Railway Signalling Commands Using Neural Networks for Anomaly Detection.
Markus HeinrichDominik RenkelTolga ArulStefan KatzenbeisserPublished in: SAFECOMP (2020)
Keyphrases
- anomaly detection
- neural network
- connectionist systems
- intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- pattern recognition
- behavior analysis
- intrusion detection system
- network intrusion detection
- network anomaly detection
- fuzzy systems
- unsupervised learning
- detecting anomalous
- computer security
- negative selection algorithm
- artificial neural networks
- genetic algorithm
- network security
- one class support vector machines
- computer systems
- machine learning