重庆邮电大学学报（自然科学版）2024，Vol.36Issue(2)：250-258,9.DOI:10.3979/j.issn.1673-825X.202305020124
神经网络在无线隐蔽通信中的应用
Covert communication based on neural networks
摘要
Abstract
Wireless communication technology has been applied to various elements of society,including human-computer interaction and physical objects,carrying wireless signals containing various types of private data.The openness of wireless transmission channels has continuously challenged their security,and wireless covert communication technology ensures in-formation security and communication path security while achieving secure communication intentions.This paper introduces the classic model of covert communication systems and summarizes and generalizes the relevant research of covert communi-cation under traditional methods.This paper also introduces the utilization of adversarial neural networks to design effective jamming,power allocation in relay communication,and reconfigurable intelligent surfaces.Taking the scenario of covert communication with legitimate users as an example,we show a method based on a generative adversarial network to design limited-length covert signals and further apply the network to design interference signals under a full-duplex receiver.Final-ly,we discuss the academic value and potential research directions of neural network methods in relay covert communica-tion,covert communication under non-orthogonal multiple access(NOMA),covert communication with Rician fading,and interference-assisted covert communication.关键词
无线隐蔽通信/神经网络/机器学习/生成对抗网络Key words
wireless covert communication/neural networks/machine learning/generative adversarial neural networks分类
信息技术与安全科学引用本文复制引用
于季弘,林子砚,杨传敏,蔡雨庭,刘家豪,王帅..神经网络在无线隐蔽通信中的应用[J].重庆邮电大学学报（自然科学版）,2024,36(2):250-258,9.基金项目
国家自然科学基金项目(62271055,U1836201) The National Natural Science Foundation of China(62271055,U1836201) （62271055,U1836201）
