2025
Meta-UAD: A Meta-Learning Scheme for User-level Network Traffic Anomaly Detection
ICASSP 2025accepted
Accuracy anomaly detection in user-level network traffic is crucial for network security. Compared with existing models that passively detect specific anomaly classes with large labeled training samples, user-level network traffic contains sizeable new anomaly classes with few labeled samples and ha…