Investigation of encrypted and obfuscated network traffic utilizing machine learning.
Kay BoldtKenneth B. KentRainer HerpersPublished in: CASCON (2020)
Keyphrases
- network traffic
- machine learning
- intrusion detection
- malicious code
- anomaly detection
- computer networks
- network security
- traffic volume
- network monitoring
- traffic data
- network bandwidth
- network management
- network traffic data
- traffic analysis
- internet traffic
- pattern recognition
- data mining
- network intrusion detection
- supervised learning
- decision trees
- reverse engineering
- intrusion detection system
- text classification
- reinforcement learning
- data analysis
- active learning
- traffic patterns
- server load
- malicious traffic
- model selection
- traffic engineering
- web caching
- learning algorithm
- information extraction
- detecting anomalous