A Framework & System for Classification of Encrypted Network Traffic using Machine Learning.
Nabil SeddighBiswajit NandyDon BennettYonglin RenSerge DolgikhColin ZeidlerJuhandre KnoetzeNaveen Sai MuthyalaPublished in: CNSM (2019)
Keyphrases
- network traffic
- machine learning
- intrusion detection
- pattern recognition
- anomaly detection
- decision trees
- text classification
- unsupervised learning
- learning algorithm
- network bandwidth
- supervised learning
- network management
- network resources
- traffic volume
- object recognition
- probabilistic model
- data mining
- computer networks
- network security
- traffic data