TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems.
Qin LinSridhar AdepuSicco VerwerAditya MathurPublished in: AsiaCCS (2018)
Keyphrases
- anomaly detection
- graphical models
- control system
- belief propagation
- intrusion detection
- probabilistic model
- probabilistic inference
- random variables
- probabilistic graphical models
- approximate inference
- detecting anomalies
- bayesian networks
- anomalous behavior
- markov networks
- network intrusion detection
- conditional random fields
- network traffic
- conditional dependencies
- one class support vector machines
- network anomaly detection
- gaussian graphical models
- exact inference
- message passing
- factor graphs
- intrusion detection system
- detect anomalies
- unsupervised learning
- normal behavior
- knowledge discovery
- data analysis
- video sequences
- learning algorithm