A systematic approach of feature selection for encrypted network traffic classification.
Donald McGaugheyTrevor SemeniukRon SmithScott KnightPublished in: SysCon (2018)
Keyphrases
- network traffic
- feature selection
- classification accuracy
- intrusion detection
- text classification
- anomaly detection
- support vector machine
- network security
- feature extraction
- pattern recognition
- feature space
- feature set
- computer networks
- network bandwidth
- intrusion detection system
- traffic data
- network monitoring
- internet traffic
- feature subset
- unsupervised learning
- machine learning
- databases
- network resources
- data warehouse
- model selection
- network traffic data
- network management
- network intrusion detection
- traffic volume
- detecting anomalous
- active learning
- association rules
- data streams
- information systems
- learning algorithm
- data mining