5 papers
Unlocking Cross-Scenario Physical Layer Security: A Mixture-of-Experts Framework with Generative Diffusion Models
Xiao Tang, Tong Hui, Chao Shen +4
The future 6G networks are expected to incorporate a proliferation of wireless services in diverse environments, which presents a significant challenge for information security. Co…
Distributionally Robust Game for Proof-of-Work Blockchain Mining Under Resource Uncertainties
Xunqiang Lan, Xiao Tang, Ruonan Zhang +4
Blockchain plays a crucial role in ensuring the security and integrity of decentralized systems, with the proof-of-work (PoW) mechanism being fundamental for achieving distributed…
Unfolded Deep Graph Learning for Networked Over-the-Air Computation
Xiao Tang, Huirong Xiao, Chao Shen +4
Over-the-air computation (AirComp) has emerged as a promising technology that enables simultaneous transmission and computation through wireless channels. In this paper, we investi…
Deep Graph Reinforcement Learning for UAV-Enabled Multi-User Secure Communications
Xiao Tang, Kexin Zhao, Chao Shen +4
While unmanned aerial vehicles (UAVs) with flexible mobility are envisioned to enhance physical layer security in wireless communications, the efficient security design that adapts…
RIS-Assisted Simultaneous Legitimate Monitoring and Jamming for Industrial Wireless Networks
Likang Zhang, Qinghe Du, Yijing Ren +3
In this paper, we study reconfigurable intelligent surface (RIS)-assisted simultaneous legitimate monitoring and jamming techniques for industrial environments, so that egitimate m…