On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series.
Gastón García GonzálezPedro CasasAlicia FernándezGabriel GómezPublished in: SIGMETRICS Perform. Evaluation Rev. (2021)
Keyphrases
- generative model
- multivariate time series
- network anomaly detection
- anomaly detection
- network intrusion detection
- probabilistic model
- self organizing maps
- temporal data
- em algorithm
- categorical data
- prior knowledge
- conditional random fields
- dimension reduction
- expectation maximization
- semi supervised
- autoregressive
- human motion
- model selection
- maximum likelihood
- data sets
- spatial structure
- machine learning