Anomaly Detection Using Normalizing Flow-Based Density Estimation and Synthetic Defect Classification.
Seungmi OhJeongtae KimPublished in: IEEE Access (2024)
Keyphrases
- density estimation
- anomaly detection
- defect classification
- intrusion detection
- mixture model
- detecting anomalies
- anomalous behavior
- outlier detection
- network intrusion detection
- one class support vector machines
- parzen window
- probability density function
- detect anomalies
- network anomaly detection
- density function
- gaussian mixture model
- intrusion detection system
- network traffic
- unsupervised learning
- em algorithm
- expectation maximization
- low dimensional
- negative selection algorithm
- neural network
- statistical analysis
- high dimensional
- computer vision
- machine learning
- real world