NeCSTGen: An approach for realistic network traffic generation using Deep Learning.
Fabien Meslet-MilletSandrine MouyssetEmmanuel ChaputPublished in: GLOBECOM (2022)
Keyphrases
- network traffic
- deep learning
- intrusion detection
- unsupervised learning
- unsupervised feature learning
- intrusion detection system
- machine learning
- traffic data
- anomaly detection
- network intrusion detection
- internet traffic
- mental models
- real world
- weakly supervised
- long range dependence
- object recognition
- pattern recognition
- multiscale
- data sets