4 papers
From Static to Adaptive Defense: Federated Multi-Agent Deep Reinforcement Learning-Driven Moving Target Defense Against DoS Attacks in UAV Swarm Networks
Yuyang Zhou, Guang Cheng, Kang Du +3
The proliferation of UAVs has enabled a wide range of mission-critical applications and is becoming a cornerstone of low-altitude networks, supporting smart cities, emergency respo…
PRIME: Plasticity-Robust Incremental Model for Encrypted Traffic Classification in Dynamic Network Environments
Tian Qin, Guang Cheng, Zihan Chen +1
With the continuous development of network environments and technologies, ensuring cyber security and governance is increasingly challenging. Network traffic classification(ETC) ca…
SNAKE: A Sustainable and Multi-functional Traffic Analysis System utilizing Specialized Large-Scale Models with a Mixture of Experts Architecture
Tian Qin, Guang Cheng, Yuyang Zhou +2
The rapid advancement of internet technology has led to a surge in data transmission, making network traffic classification crucial for security and management. However, there are…
Drift-oriented Self-evolving Encrypted Traffic Application Classification for Actual Network Environment
Zihan Chen, Guang Cheng, Jinhui Li +3
Encrypted traffic classification technology is a crucial decision-making information source for network management and security protection. It has the advantages of excellent respo…