Improving anomaly detection with Multinormal Mixture Models in shadow.
Trym Vegard HaavardsholmAmela KavaraIngebjørg KåsenTorbjørn SkauliPublished in: IGARSS (2012)
Keyphrases
- anomaly detection
- mixture model
- unsupervised learning
- gaussian mixture model
- intrusion detection
- em algorithm
- density estimation
- probabilistic model
- anomalous behavior
- model selection
- detecting anomalies
- generative model
- expectation maximization
- network traffic
- network anomaly detection
- network intrusion detection
- mixture modeling
- detecting anomalous
- detect anomalies
- maximum likelihood
- language model
- intrusion detection system
- negative selection algorithm
- one class support vector machines
- automatic model selection
- image processing
- data streams
- machine learning
- data sets