TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data.
Lucas CorreiaJan-Christoph GoosPhilipp KleinThomas BäckAnna V. KononovaPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- multivariate time series data
- intrusion detection system
- network anomaly detection
- multivariate time series
- image segmentation
- unsupervised learning
- negative selection algorithm
- detect anomalies
- pattern recognition
- one class support vector machines