Peripheral Instance Augmentation for End-to-End Anomaly Detection Using Weighted Adversarial Learning.
Weixian ZongFang ZhouMartin PavlovskiWeining QianPublished in: DASFAA (2) (2022)
Keyphrases
- end to end
- anomaly detection
- intrusion detection
- connectionist systems
- learning process
- detecting anomalies
- learning algorithm
- admission control
- intrusion detection system
- network traffic
- unsupervised learning
- computer systems
- one class support vector machines
- streaming data
- network intrusion detection
- semi supervised
- feature selection
- network anomaly detection
- real world
- unsupervised anomaly detection