ViT-PLA: A Vision Transformer-Based Physical Layer Authentication Method for Industrial Wireless Networks

IF 4.4 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-04-28 DOI:10.1109/LCOMM.2025.3564572

Lei Zhang;Meng Zheng;Bin Feng;Wei Liang;Lianbo Ma

引用次数: 0

Abstract

In this letter, we propose a Vision Transformer-based Physical Layer Authentication (ViT-PLA) method for industrial wireless networks. To this end, Channel Frequency Response (CFR) samples are organized in dual-channel CFR images, which together with request positions encompass necessary information on the spatial-temporal correlation between CFR samples. Further, we design a novel Deep Neural Network (DNN) model consisting of a ViT and two feedforward neural networks to learn from the well-designed training samples. The implementation of the trained DNN model for online authentication is also discussed. Finally, the effectiveness and the generalizability of ViT-PLA are demonstrated on real industrial datasets.

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一种基于视觉变压器的工业无线网络物理层认证方法

在这封信中，我们提出了一种基于视觉变压器的工业无线网络物理层认证（ViT-PLA）方法。为此，通道频率响应（CFR）样本被组织在双通道CFR图像中，该图像与请求位置一起包含了CFR样本之间时空相关性的必要信息。此外，我们设计了一个新的深度神经网络（DNN）模型，该模型由一个ViT和两个前馈神经网络组成，从精心设计的训练样本中学习。本文还讨论了训练后的DNN在线认证模型的实现。最后，在实际工业数据集上验证了viti - pla的有效性和通用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.