Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost.
T. J. AnandeMark S. LeesonPublished in: DeLTA (2023)
Keyphrases
- network traffic
- data generation
- intrusion detection
- training samples
- anomaly detection
- training set
- intrusion detection system
- decision trees
- pattern recognition
- network intrusion detection
- data sets
- traffic data
- real world
- normal traffic
- high throughput
- unsupervised learning
- supervised learning
- support vector machine
- data mining
- maximum likelihood
- text classification
- training examples
- classification algorithm
- active learning
- data streams
- network bandwidth
- feature extraction
- information systems
- network traffic data
- detecting anomalous
- long range dependence