Ground Segment Anomaly Detection Using Gaussian Mixture Model and Rolling Means in a Power Satellite Subsystem.
Pablo SoligoGermán MerkelJorge S. IerachePublished in: CACIC (2021)
Keyphrases
- anomaly detection
- gaussian mixture model
- mixture model
- intrusion detection
- anomalous behavior
- feature vectors
- network traffic
- network intrusion detection
- detecting anomalies
- intrusion detection system
- unsupervised anomaly detection
- em algorithm
- expectation maximization
- detecting anomalous
- unsupervised learning
- network anomaly detection
- maximum likelihood
- background subtraction
- feature space
- one class support vector machines
- network security
- gaussian mixture modeling
- remote sensing
- computer vision
- language model
- learning process
- reinforcement learning