Endogenous Security Through AI-Driven Physical-Layer Authentication for Future 6G Networks  

作　　者：MENG Rui FAN Dayu XU Xiaodong LYU Suyu TAO Xiaofeng 

机构地区：[1]State Key Laboratory of Networking and Switching Technology,Bei-jing University of Posts and Telecommunications,Beijing 100876,China [2]Department of Broadband Communication,Peng Cheng Laboratory,Shenzhen 518066,China [3]School of Information Science and Technology,Beijing University of Technology,Beijing 100124,China [4]National Engineering Laboratory for Mobile Network Technologies,Bei-jing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《ZTE Communications》2025年第1期18-29,共12页中兴通讯技术(英文版)

摘　　要：To ensure the access security of 6G,physical-layer authentication(PLA)leverages the randomness and space-time-frequency uniqueness of the channel to provide unique identity signatures for transmitters.Furthermore,the introduction of artificial intelligence(AI)facilitates the learning of the distribution characteristics of channel fingerprints,effectively addressing the uncertainties and unknown dynamic challenges in wireless link modeling.This paper reviews representative AI-enabled PLA schemes and proposes a graph neural network(GNN)-based PLA approach in response to the challenges existing methods face in identifying mobile users.Simulation results demonstrate that the proposed method outperforms six baseline schemes in terms of authentication accuracy.Furthermore,this paper outlines the future development directions of PLA.

关 键 词：physical-layer authentication artificial intelligence wireless security intelligent authentication 

分 类 号：TN9[电子电信—信息与通信工程]