An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems.
Mayra Alexandra Macas CarrascoChunming WuWalter FuertesPublished in: WEBIST (2023)
Keyphrases
- generative model
- anomaly detection
- control system
- intrusion detection
- probabilistic model
- detecting anomalies
- anomalous behavior
- prior knowledge
- network traffic
- network intrusion detection
- network anomaly detection
- em algorithm
- bayesian framework
- network security
- latent dirichlet allocation
- intrusion detection system
- one class support vector machines
- conditional random fields
- topic models
- detecting anomalous
- connectionist systems
- hidden variables
- data sets
- detect anomalies
- generative and discriminative models
- normal behavior
- latent variables
- expectation maximization
- information extraction
- reinforcement learning
- feature extraction
- machine learning