MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning.
Yunfeng DuanChenxu LiGuotao BaiGuo ChenFanqin ZhouJiaxing ChenZehua GaoChun ZhangPublished in: J. Cloud Comput. (2023)
Keyphrases
- anomaly detection
- deep learning
- network traffic
- feature fusion
- network anomaly detection
- unsupervised learning
- detect anomalies
- intrusion detection
- intrusion detection system
- feature extraction
- multiple features
- normal behavior
- supervised learning
- pairwise
- co occurrence
- machine learning
- named entities
- d objects
- learning algorithm