通信学报2023，Vol.44Issue(11)：225-236,12.DOI:10.11959/j.issn.1000-436x.2023215
基于三方生成对抗网络的隐蔽通信方法
Covert communication method based on tripartite generative adversarial network
摘要
Abstract
A novel tripartite generative adversarial network(TripartiteGAN)and a covert communication method based on TripartiteGAN were designed for jointly optimizing the transmission covertness and the demodulation accuracy of the covert message.The performance of the method was analyzed.Specifically,TripartiteGAN was used to manipulate the amplitude and phase of an input modulated covert data so that the distribution of the generated covert signal superposing the overt signal approximates to that of the overt signal for the public user.The proposed method could work with an op-timum warden that needs neither to set the detection threshold manually nor to know the transmit power characteristics of the sender.Simulation results show that under the additive white Gaussian noise channel,the proposed TripartiteGAN improved the demodulation accuracy at the covert receiver end while keeping the probability of regarding the detected signal as the covert one or the overt one at the warden around 0.5.Moreover,the proposed method outperforms the exist-ing covert communication scheme based on generative adversarial network(GAN).关键词
无线通信/生成对抗网络/隐蔽通信/机器学习Key words
wireless communication/generative adversarial network/covert communication/machine learning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,叶能,杨凯,安建平..基于三方生成对抗网络的隐蔽通信方法[J].通信学报,2023,44(11):225-236,12.基金项目
国家自然科学基金资助项目(No.62271055,No.U1836201) Foundation Item:The National Natural Science Foundation of China(No.62271055,No.U1836201) （No.62271055,No.U1836201）
