Intelligent power control for covert communication in cognitive Internet of things

Zan LI; Xiaomin LIAO; Jia SHI; Pei XIAO

doi:10.11959/j.issn.2096-3750.2020.00148

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Intelligent power control for covert communication in cognitive Internet of things

Topic:IoT and 6G | 更新时间：2024-06-05

- Intelligent power control for covert communication in cognitive Internet of things
- Chinese Journal on Internet of Things Vol. 4, Issue 1, Pages: 52-58(2020)
- 作者机构：
  
  1. 西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071
  2. 国防科技大学信息通信学院，陕西西安 710106
  3. 萨里大学5G创新研发中心，萨里郡吉尔福德 GU2 7XH
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2020.00148
  CLC： TN929.5
- Published：30 March 2020，
  
  Published Online：2020-03，
- 稿件说明：
移动端阅览
ZAN LI, XIAOMIN LIAO, JIA SHI, et al. Intelligent power control for covert communication in cognitive Internet of things. [J]. Chinese journal on internet of things, 2020, 4(1): 52-58.
DOI：

ZAN LI, XIAOMIN LIAO, JIA SHI, et al. Intelligent power control for covert communication in cognitive Internet of things. [J]. Chinese journal on internet of things, 2020, 4(1): 52-58. DOI： 10.11959/j.issn.2096-3750.2020.00148.

摘要

针对认知物联网的安全问题，提出了一种基于生成对抗网络的认知物联网隐蔽通信智能功率控制算法。首先将认知物联网隐蔽通信问题转化为认知物联网用户和窃听者之间的动态博弈问题，然后利用生成器模仿认知物联网用户，利用鉴别器模仿窃听者，两者分别采用3层神经网络构建，并通过二人零和博弈实现学习优化过程，最终达到纳什均衡，获得隐蔽功率控制方案。仿真结果表明，所提出的算法收敛速度快，不仅可以获得近似最优的隐蔽功率控制方案，而且在未来认知物联网中更具有实用性。

Abstract

In order to solve the security problem of cognitive Internet of things (IoT)

an intelligent power control algorithm of covert communication in cognitive IoT based on generative adversarial network was proposed.Firstly

the covert communication optimization problem in the cognitive IoT was transformed into a dynamic game between the cognitive IoT user and the eavesdropper.Then

the generator imitated the cognitive IoT user

while the discriminator imitated the eavesdropper.The generator and the discriminator were constructed by the three-layer neural network respectively.Through the two-person zero-sum game

the learning optimization process was realized to achieve the Nash equilibrium

and finally the covert power control scheme was obtained.The simulation results show that the proposed algorithm can not only obtain near-optimal covert power control scheme with rapid convergence ability

but also be more practical in the future cognitive IoT.

关键词

认知物联网隐蔽通信生成对抗网络功率控制

Keywords

cognitive IoTcovert communicationgenerative adversarial networkpower control

references

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HAGAN M T, DEMUTH H B, BEALE M H ,et al. Neural network design (2nd Edition)[M]. USA: Martin HaganPress, 2014.

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