Multiscale Anomaly Detection Using Diffusion Maps.
Gal MishneIsrael CohenPublished in: IEEE J. Sel. Top. Signal Process. (2013)
Keyphrases
- anomaly detection
- diffusion maps
- multiscale
- manifold learning
- dimensionality reduction
- nonlinear dimensionality reduction
- intrusion detection
- detecting anomalies
- semi supervised
- anomalous behavior
- unsupervised learning
- network intrusion detection
- network traffic
- image representation
- action classification
- low dimensional
- intrusion detection system
- detect anomalies
- feature extraction
- image segmentation
- network anomaly detection
- neural network
- high dimensional
- feature selection
- one class support vector machines
- data sets
- shape prior
- locally linear embedding
- singular value decomposition
- supervised learning
- reinforcement learning
- training data
- negative selection algorithm