Detection of Encrypted Malicious Network Traffic using Machine Learning.
Michael J. De LuciaChase CottonPublished in: MILCOM (2019)
Keyphrases
- network traffic
- normal traffic
- machine learning
- anomaly detection
- malicious code
- intrusion detection
- detecting anomalous
- intrusion detection system
- network security
- malicious traffic
- traffic volume
- computer networks
- network bandwidth
- network management
- network monitoring
- traffic analysis
- internet traffic
- data mining
- network traffic data
- ip address
- data analysis
- unsupervised learning
- network resources
- ddos attacks
- detect anomalies
- databases
- pattern recognition
- traffic engineering
- traffic patterns
- active learning
- decision trees
- supervised learning
- feature selection
- learning algorithm
- text mining