A comparative analysis of covariance matrix estimation in anomaly detection.
Santiago Velasco-ForeroMarcus ChenAlvina GohSze Kim PangPublished in: WHISPERS (2014)
Keyphrases
- anomaly detection
- covariance matrix
- estimation error
- covariance matrices
- intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- principal component analysis
- network intrusion detection
- sample size
- network anomaly detection
- geometrical interpretation
- unsupervised learning
- intrusion detection system
- detect anomalies
- negative selection algorithm
- eigenvalues and eigenvectors
- objective function
- one class support vector machines
- neural network
- cumulative sum
- multi class
- image segmentation
- computer vision