Distribution-based anomaly detection via generalized likelihood ratio test: A general Maximum Entropy approach.
Angelo ColucciaAlessandro D'AlconzoFabio RicciatoPublished in: Comput. Networks (2013)
Keyphrases
- anomaly detection
- maximum entropy
- intrusion detection
- generalized likelihood ratio test
- maximum entropy model
- maximum entropy principle
- anomalous behavior
- negative selection algorithm
- network intrusion detection
- class conditional
- detecting anomalies
- intrusion detection system
- network traffic
- one class support vector machines
- network anomaly detection
- conditional random fields
- unsupervised learning
- transformation based learning
- principle of maximum entropy
- minimum cross entropy
- detect anomalies
- higher order
- multi class
- information extraction
- object recognition