Classification of network anomalies in flow level network traffic using Bayesian networks.
M. J. Vargas-MunozRafael Martínez-PeláezPablo Velarde-AlvaradoE. Moreno-GarciaD. L. Torres RománJ. J. Ceballos-MejiaPublished in: CONIELECOMP (2018)
Keyphrases
- network traffic
- anomaly detection
- bayesian networks
- intrusion detection
- traffic analysis
- network management
- computer networks
- traffic patterns
- network monitoring
- internet traffic
- network security
- network intrusion
- network intrusion detection
- network bandwidth
- network traffic data
- intrusion detection system
- traffic data
- network resources
- unsupervised learning
- detect anomalies
- decision trees
- web caching
- machine learning
- detecting anomalous
- probabilistic model
- traffic volume
- text classification
- traffic engineering
- feature space
- feature extraction
- normal traffic
- malicious traffic
- ip addresses
- supervised learning
- wireless sensor networks
- feature selection