ESAD: End-to-end Deep Semi-supervised Anomaly Detection.
Chaoqin HuangFei YeYa ZhangYan-Feng WangQi TianPublished in: CoRR (2020)
Keyphrases
- end to end
- anomaly detection
- semi supervised
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- detecting anomalies
- anomalous behavior
- labeled data
- network intrusion detection
- admission control
- pairwise
- active learning
- network traffic
- network anomaly detection
- detecting anomalous
- detect anomalies
- negative selection algorithm
- intrusion detection system
- network security
- application layer
- supervised learning
- congestion control
- real world
- one class support vector machines
- cumulative sum
- data sets
- text mining
- similarity measure
- neural network