FPGA-Based Network Traffic Classification Using Machine Learning.
Mohammed ElnawawyAssim SagahyroonTamer ShanablehPublished in: IEEE Access (2020)
Keyphrases
- network traffic
- machine learning
- pattern recognition
- decision trees
- intrusion detection
- anomaly detection
- supervised learning
- network security
- support vector machine
- text classification
- model selection
- feature selection
- network management
- computer networks
- network monitoring
- intrusion detection system
- network bandwidth
- network resources
- feature extraction
- traffic data
- traffic analysis
- network traffic data
- computer vision
- internet traffic
- traffic volume
- network intrusion detection
- unsupervised learning
- knowledge discovery
- active learning
- information systems
- dimensionality reduction
- feature space
- web caching
- reinforcement learning
- detecting anomalous