RIS-Aided Physical Layer Key Generation of IoT Network in Static Environments (March 2023)

被引:0
|
作者
Yang, Jie [1 ]
Hu, Xiaoyan [1 ]
Ji, Xinsheng [1 ]
Jin, Liang [1 ]
Zhao, Jianlei [2 ]
Qu, Jinghua [1 ]
机构
[1] Informat Engn Univ, Zhengzhou 450002, Peoples R China
[2] Purple Mt Labs, Nanjing 210000, Peoples R China
基金
中国国家自然科学基金;
关键词
Correlated eavesdropping; parameter design; reconfigurable intelligent surface (RIS); secrecy key capacity; secret key generation (SKG); SECRET; COMMUNICATION;
D O I
10.1109/JSEN.2023.3323952
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Physical layer secret key generation (SKG) technology can provide lightweight encryption for resource-constrained Internet of Things (IoT) devices. However, many IoT devices are stationary, and the environment is usually static, which leads to ultralow/zero secret key rates. To circumvent this problem, a novel SKG scheme based on reconfigurable intelligent surface (RIS) is proposed for multiple-input single-output (MISO) communications. First, the phase shifts at the RIS are tuned randomly in each frame, which makes time-varying reflection channels superimposed on the original channels. Correspondingly, the key capacity of all nodes within the cell coverage area can be remarkably improved. Compared with the existing methods, the scheme is loosely coupled with the original system. Besides, the closed-form expressions of key capacity taking into account eavesdropping are derived for the case studies of independent and correlated channels. Based on these derivations, we can conclude that sharing the same phase shifts randomness will not lead to key information leakage. More importantly, compared with user-introduced randomness schemes, the proposed scheme can maintain good performance even the number of eavesdropping nodes increases. Furthermore, the impacts of critical parameters on key performance are analyzed, respectively, which offers guidelines for system design. Finally, simulation results verify the theoretical analysis.
引用
收藏
页码:29471 / 29484
页数:14
相关论文
共 50 条
  • [1] Phase Shift Matrix Design With Vector Quantization in RIS-Aided Physical Layer Key Generation
    Song, Yufan
    Chen, Liquan
    Lu, Tianyu
    Zhang, Peng
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (10) : 2637 - 2641
  • [2] Optimal Element Allocation for RIS-Aided Physical Layer Security
    Zhang, Ying
    Zhang, Guoan
    Chen, Siyu
    Choi, Jaeho
    Ho, Pin-Han
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [3] Physical Layer Secret Key Generation in Static Environments
    Aldaghri, Nasser
    Mahdavifar, Hessam
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 15 : 2692 - 2705
  • [4] A Novel Design of RIS for Enhancing the Physical Layer Security for RIS-Aided NOMA Networks
    Tang, Zhiqing
    Hou, Tianwei
    Liu, Yuanwei
    Zhang, Jiankang
    Zhong, Caijun
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 10 (11) : 2398 - 2401
  • [5] Aerial RIS-Aided Physical Layer Security: Optimal Deployment and Partitioning
    Arzykulov, Sultangali
    Celik, Abdulkadir
    Nauryzbayev, Galymzhan
    Eltawil, Ahmed M.
    TechRxiv, 2023,
  • [6] Aerial RIS-Aided Physical Layer Security: Optimal Deployment and Partitioning
    Arzykulov, Sultangali
    Celik, Abdulkadir
    Nauryzbayev, Galymzhan
    Eltawil, Ahmed M.
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2024, 10 (05) : 1867 - 1882
  • [7] Optimal Shifting Reconfigurable Intelligent Surface aided Physical-Layer Key Generation in Static Environments
    Wan, Zheng
    Wang, Zhidan
    You, Mengyao
    Deng, Zheyuan
    Yi, Ming
    Huang, Kaizhi
    Jin, Liang
    2024 IEEE MTT-S INTERNATIONAL WIRELESS SYMPOSIUM, IWS 2024, 2024,
  • [8] Artificial Noise and RIS-Aided Physical Layer Security: Optimal RIS Partitioning and Power Control
    Arzykulov, Sultangali
    Celik, Abdulkadir
    Nauryzbayev, Galymzhan
    Eltawil, Ahmed M.
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2023, 12 (06) : 992 - 996
  • [9] RIS-Aided Physical Layer Security Improvement in Underlay Cognitive Radio Networks
    Khoshafa, Majid H.
    Ngatched, Telex M. N.
    Ahmed, Mohamed H.
    IEEE SYSTEMS JOURNAL, 2023, 17 (04): : 6437 - 6448
  • [10] Physical Layer Security for RIS-Aided Wireless Communications With Uncertain Eavesdropper Distributions
    Gu, Xiaohui
    Duan, Wei
    Zhang, Guoan
    Sun, Qiang
    Wen, Miaowen
    Ho, Pin-Han
    IEEE SYSTEMS JOURNAL, 2023, 17 (01): : 848 - 859