A Realistic Approach for Network Traffic Obfuscation Using Adversarial Machine Learning.
Alonso GranadosMohammad Sujan MiahAnthony OrtizChristopher KiekintveldPublished in: GameSec (2020)
Keyphrases
- network traffic
- machine learning
- intrusion detection
- anomaly detection
- computer networks
- network monitoring
- network security
- network bandwidth
- internet traffic
- intrusion detection system
- traffic volume
- traffic data
- network management
- long range dependence
- traffic analysis
- reverse engineering
- information extraction
- data analysis
- network traffic data
- active learning
- pattern recognition
- real world
- server load
- data mining
- learning algorithm
- reinforcement learning
- network intrusion detection
- object recognition
- decision trees
- web caching
- detect anomalies
- network resources
- probabilistic model
- supervised learning
- text classification