25 citations · 28 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive Defense
Yuyang Zhou, Guang Cheng, Kang Du +2
The rapid evolution of cloud computing technologies and the increasing number of cloud applications have provided numerous benefits in our daily lives. However, the diversity and c…
Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning
Zihan Chen, Howard H. Yang, Tony Q. S. Quek
Federated edge learning is envisioned as the bedrock of enabling intelligence in next-generation wireless networks, but the limited spectral resources often constrain its scalabili…
Server Free Wireless Federated Learning: Architecture, Algorithm, and Analysis
Howard H. Yang, Zihan Chen, Tony Q. S. Quek
We demonstrate that merely analog transmissions and match filtering can realize the function of an edge server in federated learning (FL). Therefore, a network with massively distr…
A Cost-effective Shuffling Method against DDoS Attacks using Moving Target Defense
Yuyang Zhou, Guang Cheng, Shanqing Jiang +3
Moving Target Defense (MTD) has emerged as a newcomer into the asymmetric field of attack and defense, and shuffling-based MTD has been regarded as one of the most effective ways t…