Intelligent Reflecting Surface-Assisted Secret Key Generation with Discrete Phase Shifts in Static Environment

Author(s):  
Xiaoyan Hu ◽  
Liang Jin ◽  
Kaizhi Huang ◽  
Xiaoli Sun ◽  
You Zhou ◽  
...  
2020 ◽  
Author(s):  
Xiaoyan Hu ◽  
Liang Jin ◽  
Kaizhi Huang ◽  
Xiaoli Sun ◽  
You Zhou

<a>Physical layer secret key generation is a promising candidate to achieve one-time-pad encryption approach for wireless communication system. The main issue of this method is the insufficient secret key rate. Especially in a static environment, the entropy of the channel complex coefficient is limited due to the lack of channel time-variation. To solve the problem, this paper proposes a novel secret key generation scheme assisted by intelligent reflecting surface (IRS) with discrete phase. We construct a dynamic time-varying channel by switching the phase of the reflection elements rapidly and randomly, and use channel estimation samples to update the secret key. Based on the common IRS channel model, we derive the expression of secret key rate. Monte Carlo simulation and numerical results show that the scheme can update secret key even if the channel coefficient is constant, and the secret key rate is higher than schemes based on artificial random signal. In addition, we comprehensively analyze the influence of various factors, such as the number of reflection elements and the IRS switching frequency on the secret key rate. </a>


2020 ◽  
Author(s):  
Xiaoyan Hu ◽  
Liang Jin ◽  
Kaizhi Huang

<a>Physical layer secret key generation is a promising candidate to achieve one-time-pad encryption approach for wireless communication system. The main issue of this method is the insufficient secret key rate. Especially in a static environment, the entropy of the channel complex coefficient is limited due to the lack of channel time-variation. To solve the problem, this paper proposes a novel secret key generation scheme assisted by intelligent reflecting surface (IRS) with discrete phase. We construct a dynamic time-varying channel by switching the phase of the reflection elements rapidly and randomly, and use channel estimation samples to update the secret key. Based on the common IRS channel model, we derive the expression of secret key rate. Monte Carlo simulation and numerical results show that the scheme can update secret key even if the channel coefficient is constant, and the secret key rate is higher than schemes based on artificial random signal. In addition, we comprehensively analyze the influence of various factors, such as the number of reflection elements and the IRS switching frequency on the secret key rate. </a>


2020 ◽  
Author(s):  
Xiaoyan Hu ◽  
Liang Jin ◽  
Kaizhi Huang ◽  
Xiaoli Sun ◽  
You Zhou

<a>Physical layer secret key generation is a promising candidate to achieve one-time-pad encryption approach for wireless communication system. The main issue of this method is the insufficient secret key rate. Especially in a static environment, the entropy of the channel complex coefficient is limited due to the lack of channel time-variation. To solve the problem, this paper proposes a novel secret key generation scheme assisted by intelligent reflecting surface (IRS) with discrete phase. We construct a dynamic time-varying channel by switching the phase of the reflection elements rapidly and randomly, and use channel estimation samples to update the secret key. Based on the common IRS channel model, we derive the expression of secret key rate. Monte Carlo simulation and numerical results show that the scheme can update secret key even if the channel coefficient is constant, and the secret key rate is higher than schemes based on artificial random signal. In addition, we comprehensively analyze the influence of various factors, such as the number of reflection elements and the IRS switching frequency on the secret key rate. </a>


Entropy ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. 1342
Author(s):  
Yuwei Gao ◽  
Dengke Guo ◽  
Jun Xiong ◽  
Dongtang Ma

Channel secret key generation (CSKG), assisted by the new material intelligent reflecting surface (IRS), has become a new research hotspot recently. In this paper, the key extraction method in the IRS-aided low-entropy communication scenario with adjacent multi-users is investigated. Aiming at the problem of low key generation efficiency due to the high similarity of channels between users, we propose a joint user allocation and IRS reflection parameter adjustment scheme, while the reliability of information exchange during the key generation process is also considered. Specifically, the relevant key capability expressions of the IRS-aided communication system is analyzed. Then, we study how to adjust the IRS reflection matrix and allocate the corresponding users to minimize the similarity of different channels and ensure the robustness of key generation. The simulation results show that the proposed scheme can bring higher gains to the performance of key generation.


2021 ◽  
pp. 1-1
Author(s):  
Xinjin Lu ◽  
Jing Lei ◽  
Yuxin Shi ◽  
Wei Li

Author(s):  
Francois Rottenberg ◽  
Trung-Hien Nguyen ◽  
Jean-Michel Dricot ◽  
Francois Horlin ◽  
Jerome Louveaux

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