基于CSI的對稱加密端到端通信系統(tǒng)

打開文本圖片集

中圖分類號：TN918.91 文獻標(biāo)識碼：A DOI：10.7535/hbkd.2025yx04006

CSI-based symmetric encryption end-to-end communication system

AN Yongli12，LI Zongrui1，BAI Haifei1，MI Xueyu2，3 （1.CollgeofArticial Inteligence，North ChinaUniversityof ScienceandTechnology，Tangshan，Hebei O630oo，China; 2.Tangshan Key Laboratory of Air and Ground Smart Transportation，Tangshan，Hebei O63Ooo，China; 3.College of Emergency Management and Safety Enginering，North China Universityof Science and Technology， Tangshan，Hebei O630oo，China）

Abstract：Toaddress the isueof information leakage caused bykeytheftduring transmision，asymmetric encryptio endto-endcommunicationsystem basedonchannel stateinformation（CSI）was proposed.The proposedsystem employed convolutional neural networks toconstructthetransmiter，receiver，andkeygenerator，optimizing theencodinganddecoding process in anend-to-end manner.Atthesame time，itleveragedthereciprocity，random time-variability，andspatial uniquenessofwirelesschannels to measure the CSIandgenerate keys fromlegitimateusers，encryptingtheoriginal information.ThesimulationresultsdemonstratethatunderRayleighfading，Ricianfading，andfrequency-selectivemultipath fadingchanels，thebiterorrates（BER）of theproposedsystemislowerthanthatofbaselinemodelssuchasthesymmetric encryptionsystem basedondepconvolutional generative adversarial networks within thetested signal-to-noiseratio（SNR） range.In high-SNR scenarios，theimprovementof BERcanreach18dB.Aditionally，infouratack scenarios，suchas brute force andkey leakageattacks，theBERof eavesdropperisapproximatelyO.5，indicatinganinabilitytodecrypt the information.The proposed systemeliminates thenedforkeydistribution，reducing theBER whileenhancing eavesdropping resistance，thus providing a novel approach for secure communication.

Keywords：wireless communication technology；end-to-end communication；physical layer security；AutoEncoder；symmetric encryption

近年來，深度學(xué)習(xí)（deep learning，DL）發(fā)展迅速，許多學(xué)者將其引人到無線通信領(lǐng)域中，從物理層的角度對通信系統(tǒng)進行優(yōu)化[1]。（剩余16288字）