Practical and configurable network traffic classification using probabilistic machine learning.
Jiahui ChenJoe BreenJeff M. PhillipsJacobus E. van der MerwePublished in: Clust. Comput. (2022)
Keyphrases
- network traffic
- machine learning
- pattern recognition
- intrusion detection
- anomaly detection
- text classification
- decision trees
- network monitoring
- support vector machine
- feature selection
- intrusion detection system
- network bandwidth
- traffic analysis
- computer networks
- network security
- model selection
- network management
- traffic data
- supervised learning
- bayesian networks
- learning algorithm
- unstructured peer to peer
- network traffic data
- databases
- generative model
- network resources
- data mining
- computer systems
- internet traffic
- detecting anomalous
- unsupervised learning
- text mining
- semi supervised
- information extraction
- probabilistic model
- training set
- reinforcement learning
- feature extraction
- real world