An anomaly detection technique for business processes based on extended dynamic bayesian networks.
Stephen PauwelsToon CaldersPublished in: SAC (2019)
Keyphrases
- anomaly detection
- business processes
- dynamic bayesian networks
- business process
- bayesian networks
- intrusion detection
- detecting anomalies
- particle filtering
- approximate inference
- web services
- intrusion detection system
- business process management
- unsupervised learning
- network traffic
- business partners
- detect anomalies
- one class support vector machines
- state variables
- network security
- structure learning
- inter organizational
- probabilistic inference
- message passing
- human motion
- graphical models
- search space