Anomaly detection in sea traffic - A comparison of the Gaussian Mixture Model and the Kernel Density Estimator.
Rikard LaxhammarGöran FalkmanEgils SviestinsPublished in: FUSION (2009)
Keyphrases
- anomaly detection
- gaussian mixture model
- network traffic
- kernel density estimator
- density estimation
- detect anomalies
- mixture model
- intrusion detection
- detecting anomalies
- network intrusion detection
- em algorithm
- maximum likelihood
- probability density function
- background subtraction
- feature vectors
- expectation maximization
- intrusion detection system
- kernel density estimation
- unsupervised learning
- feature space
- density function
- gaussian mixture
- probability density
- similarity measure
- data sets