用于无线设备身份识别的射频指纹提取方法OACSTPCD
RF fingerprint extraction method for wireless device identity recognition
已有的射频指纹技术缺乏理论支撑,无法摆脱对设备身份识别过程中借助信道特征的依赖.该文针对直接序列扩频的ZigBee信号,提出了 一种基于扩频还原的射频指纹提取方法.在60台ZigBee设备上以及4种不同的实验场景中进行试验,设备分类准确率最高可达99.8%.该方法的鲁棒性更强、计算量更小,具有较强的实用性.
The existing radio frequency fingerprinting technique lacks theoretical support and cannot get rid of the suspicion of identifying the process of device identification with the help of channel features.In this paper,a radio frequency fingerprint extraction method based on spread spectrum reduction is proposed for ZigBee signals with direct sequence spread spectrum.The method achieves device classifica-tion accuracy up to 99.8%on 60 ZigBee devices and in four different experimental scenarios.The method is more robust and less compu-tationally intensive,making it highly practical.
周樨;唐丹红;蔡阳;徐之欣
国网上海金山供电公司,上海 200540
动力与电气工程
无线物理层安全射频指纹扩频还原身份识别
wireless physical layer securityradio frequency fingerprintspread spectrum restorationidentity recognition
《单片机与嵌入式系统应用》 2024 (001)
69-72 / 4
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