Rule-based Anomaly Detection for Railway Signalling Networks.
Markus HeinrichArwed GölzTolga ArulStefan KatzenbeisserPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- intrusion detection system
- network anomaly detection
- anomalous behavior
- behavior analysis
- social networks
- network intrusion detection
- detecting anomalous
- network traffic
- network security
- unsupervised anomaly detection
- detect anomalies
- computer security
- traffic engineering
- negative selection algorithm
- network structure
- maximum likelihood
- one class support vector machines
- unsupervised learning
- feature extraction
- decision trees
- learning algorithm
- neural network