一种基于LED指纹的可见光通信设备识别方法

Dayu Shi, Xun Zhang, A. Vladimirescu, Lina Shi, Yanqi Huang, Yourong Liu
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引用次数: 2

摘要

在未来网络中,随着海量机器类型通信(mMTC)的出现,物理层安全正成为第五代(5G)及以上(B5G)通信系统的重要研究领域。设备指纹识别是一项被广泛认为可以提高射频(RF)无线系统安全性的技术。与此同时,可见光通信(VLC)由于其在室内环境下的高吞吐量以及在隐私和健康方面的安全优势而迅速发展。为了提高5G网络中可见光通信(VLC)的安全性,本文提出了一种VLC设备指纹提取与识别方法。对这种基于发光二极管指纹的方法进行了理论研究和实验验证。实验结果表明,该方法可以成功地提取和识别五种相同的白光led的指纹。鉴定正确率最高可达98.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A device identification method based on LED fingerprint for visible light communication system
In future networks, with the advent of massive machine type communications (mMTC), physical layer security is becoming a significant research area in the fifth generation (5G) and beyond 5G (B5G) communication systems. Device fingerprinting is a technology widely viewed to enhance the security of radio frequency (RF) based wireless systems. Meanwhile, visible light communication (VLC) is developing rapidly due to its remarkably high throughput in indoor situations and its security advantages for both privacy and health. In this paper, a VLC device fingerprint extraction and identification method are presented to improve the security of Visible Light Communication (VLC) in the 5G network. This method based on the fingerprint of Light Emitting Diodes (LEDs) has been investigated theoretically and verified experimentally. Moreover, a laboratory demonstration showed that the fingerprints of five identical white LEDs could be extracted and identified successfully. The best identification accuracy was up to 98.8%.
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