Fingerprinting encrypted network traffic types using machine learning.
Sam LerouxSteven BohezPieter-Jan MaenhautNathan MeheusPieter SimoensBart DhoedtPublished in: NOMS (2018)
Keyphrases
- network traffic
- machine learning
- intrusion detection
- anomaly detection
- network security
- computer networks
- intrusion detection system
- network monitoring
- traffic data
- traffic analysis
- normal traffic
- pattern recognition
- network intrusion detection
- network bandwidth
- text classification
- internet traffic
- malicious code
- traffic volume
- network management
- detecting anomalous
- data mining
- network resources
- supervised learning
- active learning
- data analysis
- decision trees
- detect anomalies
- information systems
- databases
- long range dependence