3 papers
cs.CR2026
MalMoE: Mixture-of-Experts Enhanced Encrypted Malicious Traffic Detection Under Graph Drift
Yunpeng Tan, Qingyang Li, Mingxin Yang +3
Encryption has been commonly used in network traffic to secure transmission, but it also brings challenges for malicious traffic detection, due to the invisibility of the packet pa…
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.NI2025
LLM-Sketch: Enhancing Network Sketches with LLM
Yuanpeng Li, Zhen Xu, Zongwei Lv +3
Network stream mining is fundamental to many network operations. Sketches, as compact data structures that offer low memory overhead with bounded accuracy, have emerged as a promis…