A dynamic network traffic classifier using supervised ML for a Docker-based SDN network.
Pritom Kumar MondalLizeth P. Aguirre SanchezEmmanuele BenedettoYao ShenMinyi GuoPublished in: Connect. Sci. (2021)
Keyphrases
- network traffic
- computer networks
- intrusion detection
- network management
- anomaly detection
- network monitoring
- traffic analysis
- network bandwidth
- traffic data
- network resources
- learning algorithm
- intrusion detection system
- internet traffic
- traffic volume
- network traffic data
- network security
- network intrusion detection
- maximum likelihood
- routing algorithm
- supervised learning
- traffic patterns
- detecting anomalous
- normal traffic
- malicious traffic
- semi supervised
- training set
- training data
- feature selection
- text classification
- machine learning
- active learning
- traffic engineering
- detection mechanism
- web caching
- detect anomalies
- reinforcement learning
- real world