6 papers
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
Yuyang Zhou, Guang Cheng, Zongyao Chen +1
Machine learning (ML) has gained significant adoption in Android malware detection to address the escalating threats posed by the rapid proliferation of malware attacks. However, r…
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…
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…