3 papers
cs.CR2026
PLAA: Packet-level Adversarial Attacks in Network Traffic Detection
Jinhao You, Zan Zhou, Shujie Yang +3
Deep neural networks (DNNs) are widely applied in Network-based Intrusion Detection System (NIDS) due to their high accuracy. However, DNNs are highly susceptible to adversarial at…
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.NI2025
Large Language Models powered Malicious Traffic Detection: Architecture, Opportunities and Case Study
Xinggong Zhang, Haotian Meng, Qingyang Li +2
Malicious traffic detection is a pivotal technology for network security to identify abnormal network traffic and detect network attacks. Large Language Models (LLMs) are trained o…