A Generative Model for Anomaly Detection in Time Series Data.
Maximilian HohAlfred SchöttlHenry SchaubFranz WenningerPublished in: ISM (2021)
Keyphrases
- generative model
- anomaly detection
- intrusion detection
- probabilistic model
- detecting anomalies
- network traffic
- detect anomalies
- bayesian framework
- anomalous behavior
- network intrusion detection
- latent dirichlet allocation
- prior knowledge
- em algorithm
- unsupervised learning
- network anomaly detection
- semi supervised
- one class support vector machines
- detecting anomalous
- intrusion detection system
- topic models
- hidden variables
- normal behavior
- conditional random fields
- expectation maximization
- latent variables
- machine learning
- model selection
- similarity measure