电波科学学报2026，Vol.41Issue(3)：537-546,10.DOI:10.12265/j.cjors.2025094
基于矢量分解门控循环单元的射频指纹隐匿方法
A radio frequency fingerprint concealment method based on vector decomposed gated recurrent unit
摘要
Abstract
Radio frequency fingerprint identification(RFFI)has been widely adopted in IoT device management and wireless security due to its ability to authenticate devices based on hardware-induced imperfections without higher-layer dependencies.However,its growing identifiability also raises concerns about potential privacy leakage.To address this,this paper proposes a radio frequency fingerprint concealment(RFFC)framework to suppress the exposure of device identity features.Furthermore,a novel RFF modeling network based on the vector decomposed gated recurrent unit(VDGRU)is developed.This network reconstructs the original baseband signal by modeling the inverse mapping of the transmitter chain and reuses the inverse model as a forward compensator to embed inverse RFF features,thereby mitigating fingerprint characteristics after transmission.The approach employs amplitude-driven GRU modeling for nonlinear distortion and integrates a phase reconstruction mechanism to enhance both concealment and signal fidelity.Experimental evaluations across multiple transmitters,signal-to-noise ratios,and multipath channel conditions demonstrate that the proposed method significantly degrades identification accuracy in various mainstream RFFI systems.It also achieves superior concealment in terms of confusion matrices,feature distribution visualization,and signal linearity metrics,exhibiting strong generalization and robustness.关键词
射频指纹识别(RFFI)/射频指纹隐匿(RFFC)/射频指纹建模/射频指纹逆特征嵌入/矢量分解门控循环单元(VDGRU)/系统线性化/通信安全Key words
radio frequency fingerprint identification(RFFI)/radio frequency fingerprint concealment(RFFC)/radio frequency fingerprint modeling/inverse feature embedding/vector decomposed gated recurrent unit(VDGRU)/system linearization/communication security分类
信息技术与安全科学引用本文复制引用
姚志生,陈思,桂冠..基于矢量分解门控循环单元的射频指纹隐匿方法[J].电波科学学报,2026,41(3):537-546,10.基金项目
国家自然科学基金(62471247)National Natural Science Foundation of China(62471247) （62471247）
