Network Anomaly Detection with Bayesian Self-Organizing Maps.
Emiro de la Hoz FrancoAndrés Ortiz GarcíaJulio Ortega LoperaEduardo de la Hoz CorreaAlberto PrietoPublished in: IWANN (1) (2013)
Keyphrases
- network anomaly detection
- self organizing maps
- anomaly detection
- network intrusion detection
- neural network
- competitive learning
- unsupervised learning
- neural gas
- som neural network
- input data
- maximum likelihood
- bayesian networks
- topology preserving
- network traffic
- alert correlation
- data mining
- object recognition
- visualization methods
- computer vision
- data processing
- data sets
- k means