A general anomaly detection framework for fleet-based condition monitoring of machines.
Kilian HendrickxWannes MeertYves MolletJohan GyselinckBram CornelisKonstantinos C. GrylliasJesse DavisPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- condition monitoring
- intrusion detection
- network traffic
- detecting anomalies
- anomalous behavior
- intrusion detection system
- network security
- network intrusion detection
- behavior analysis
- network anomaly detection
- data assimilation
- unsupervised anomaly detection
- neural network
- detecting anomalous
- unsupervised learning
- probabilistic model
- computer vision