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cs.LG2026
UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts
Tongze Wang, Xiaohui Xie, Wenduo Wang +2
Network traffic classification (NTC) models often suffer severe performance degradation when deployed in real-world environments due to distribution shifts caused by changing netwo…
cs.LG2026
NetMamba+: A Framework of Pre-trained Models for Efficient and Accurate Network Traffic Classification
Tongze Wang, Xiaohui Xie, Wenduo Wang +6
With the rapid growth of encrypted network traffic, effective traffic classification has become essential for network security and quality of service management. Current machine le…
cs.LG2024
NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
Tongze Wang, Xiaohui Xie, Wenduo Wang +3
Network traffic classification is a crucial research area aiming to enhance service quality, streamline network management, and bolster cybersecurity. To address the growing comple…