An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems.
Mayra MacasChunming WuWalter FuertesPublished in: CoRR (2024)
Keyphrases
- generative model
- anomaly detection
- control system
- intrusion detection
- probabilistic model
- network intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- bayesian framework
- detecting anomalous
- em algorithm
- one class support vector machines
- intrusion detection system
- prior knowledge
- network anomaly detection
- latent dirichlet allocation
- semi supervised
- hidden variables
- conditional random fields
- topic models
- unsupervised learning
- negative selection algorithm
- detect anomalies
- network security
- cumulative sum
- expectation maximization
- text mining
- data sets
- generative and discriminative models
- computer vision