Publication - Key Generation @ University of Liverpool

Last updated:

University of Liverpool has been one of the leading institutions worldwide in the area of key generation from wireless channels. We have carried out systematic research to investigate different aspects of this exciting technique, ranging from theoretical modelling, simulation, and experimental validations. This page summarises our key generation publication.

Please visit key generation publications by topic for our work categorized by topic.

Please find a Poster that summarizes our work.

Refereed Journal Articles

  1. 2026
    H. Fu, L. Peng, J. Zhang, M. Liu, X. Chen, and A. Hu, “Towards a Practical Key Generation System for V2X Communications,” IEEE Transactions on Mobile Computing, vol. 25, no. 5, pp. 6836–6849, 2026, doi: 10.1109/tmc.2025.3640580.
    DOI Data 
    @article{fu2025towards,
  title = {Towards a Practical Key Generation System for V2X Communications},
  author = {Fu, Hua and Peng, Linning and Zhang, Junqing and Liu, Ming and Chen, Xudong and Hu, Aiqun},
  journal = {IEEE Transactions on Mobile Computing},
  volume = {25},
  number = {5},
  pages = {6836--6849},
  year = {2026},
  doi = {10.1109/tmc.2025.3640580},
  keywords = {keygen}
}
  2. 2025
    Z. Wei, W. Hu, J. Zhang, W. Guo, and J. McCann, “Explainable Adversarial Learning Framework on Physical Layer Key Generation Combating Malicious Reconfigurable Intelligent Surface,” IEEE Transactions on Wireless Communications, vol. 24, no. 4, pp. 3529–3545, 2025, doi: 10.1109/twc.2025.3531799.
    DOI arXiv 
    @article{wei2025explainable,
  title = {Explainable Adversarial Learning Framework on Physical Layer Key Generation Combating Malicious Reconfigurable Intelligent Surface},
  author = {Wei, Zhuangkun and Hu, Wenxiu and Zhang, Junqing and Guo, Weisi and McCann, Julie},
  journal = {IEEE Transactions on Wireless Communications},
  volume = {24},
  number = {4},
  pages = {3529 - 3545},
  year = {2025},
  doi = {10.1109/twc.2025.3531799},
  arxiv = {2402.06663},
  keywords = {keygen}
}
  3. 2025
    T. Lu, L. Chen, J. Zhang, C. Chen, T. Q. Duong, and M. Matthaiou, “Precoding Design for Key Generation in Extremely Large-Scale MIMO Near-Field Multi-User Systems,” IEEE Transactions on Information Forensics and Security, vol. 20, pp. 10572–10587, 2025, doi: 10.1109/tifs.2025.3614468.
    DOI 
    @article{lu2025precoding,
  title = {Precoding Design for Key Generation in Extremely Large-Scale {MIMO} Near-Field Multi-User Systems},
  author = {Lu, Tianyu and Chen, Liquan and Zhang, Junqing and Chen, Chen and Duong, Trung Q and Matthaiou, Michail},
  journal = {IEEE Transactions on Information Forensics and Security},
  volume = {20},
  pages = {10572 - 10587},
  year = {2025},
  doi = {10.1109/tifs.2025.3614468},
  keywords = {keygen}
}
  4. 2025
    T. Lu, L. Chen, J. Zhang, and T. Q. Duong, “Multi-User Key Rate Optimization for Near-Field Extremely Large-Scale Antenna Array Communications,” IEEE Transactions on Information Forensics and Security, vol. 20, pp. 7982–7997, 2025, doi: 10.1109/tifs.2025.3594198.
    DOI 
    @article{lu2025multi,
  title = {Multi-User Key Rate Optimization for Near-Field Extremely Large-Scale Antenna Array Communications},
  author = {Lu, Tianyu and Chen, Liquan and Zhang, Junqing and Duong, Trung Q},
  journal = {IEEE Transactions on Information Forensics and Security},
  volume = {20},
  pages = {7982 - 7997},
  year = {2025},
  doi = {10.1109/tifs.2025.3594198},
  keywords = {keygen}
}
  5. 2024
    C. Chen, J. Zhang, T. Lu, M. Sandell, and L. Chen, “Secret key generation for IRS-assisted multi-antenna systems: A machine learning-based approach,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 1086–1098, 2024, doi: 10.1109/tifs.2023.3331588.
    DOI arXiv 
    @article{chen2023secret,
  title = {Secret key generation for {IRS}-assisted multi-antenna systems: A machine learning-based approach},
  author = {Chen, Chen and Zhang, Junqing and Lu, Tianyu and Sandell, Magnus and Chen, Liquan},
  journal = {IEEE Transactions on Information Forensics and Security},
  volume = {19},
  pages = {1086--1098},
  year = {2024},
  doi = {10.1109/tifs.2023.3331588},
  arxiv = {2305.00043},
  keywords = {keygen}
}
  6. 2024
    X. Zhang, G. Li, J. Zhang, L. Peng, A. Hu, and X. Wang, “Enabling deep learning-based physical-layer secret key generation for FDD-OFDM systems in multi-environments,” IEEE Transactions on Vehicular Technology, vol. 73, no. 7, pp. 10135–10149, 2024, doi: 10.1109/tvt.2024.3367362.
    DOI arXiv 
    @article{zhang2024enabling,
  title = {Enabling deep learning-based physical-layer secret key generation for {FDD-OFDM} systems in multi-environments},
  author = {Zhang, Xinwei and Li, Guyue and Zhang, Junqing and Peng, Linning and Hu, Aiqun and Wang, Xianbin},
  journal = {IEEE Transactions on Vehicular Technology},
  volume = {73},
  number = {7},
  pages = {10135 - 10149},
  year = {2024},
  doi = {10.1109/tvt.2024.3367362},
  arxiv = {2211.03065},
  keywords = {keygen}
}
  7. 2024
    T. Lu, L. Chen, J. Zhang, C. Chen, and T. Q. Duong, “Reconfigurable Intelligent Surface-Assisted Key Generation for Millimetre-Wave Multi-User Systems,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 5373–5388, 2024, doi: 10.1109/tifs.2024.3397037.
    DOI 
    @article{lu2024reconfigurable,
  title = {Reconfigurable Intelligent Surface-Assisted Key Generation for Millimetre-Wave Multi-User Systems},
  author = {Lu, Tianyu and Chen, Liquan and Zhang, Junqing and Chen, Chen and Duong, Trung Q},
  journal = {IEEE Transactions on Information Forensics and Security},
  volume = {19},
  pages = {5373 - 5388},
  year = {2024},
  doi = {10.1109/tifs.2024.3397037},
  keywords = {keygen}
}
  8. 2023
    T. Lu, L. Chen, J. Zhang, C. Chen, and A. Hu, “Joint Precoding and Phase Shift Design in Reconfigurable Intelligent Surfaces-Assisted Secret Key Generation,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 3251–3266, 2023, doi: 10.1109/tifs.2023.3268881.
    DOI arXiv 
    @article{lu2023joint,
  title = {Joint Precoding and Phase Shift Design in Reconfigurable Intelligent Surfaces-Assisted Secret Key Generation},
  author = {Lu, Tianyu and Chen, Liquan and Zhang, Junqing and Chen, Chen and Hu, Aiqun},
  journal = {IEEE Transactions on Information Forensics and Security},
  volume = {18},
  pages = {3251 - 3266},
  year = {2023},
  doi = {10.1109/tifs.2023.3268881},
  arxiv = {2208.00218},
  keywords = {keygen}
}
  9. 2022
    L. Yang, Y. Gao, J. Zhang, S. Camtepe, and D. Jayalath, “A channel perceiving attack and the countermeasure on long-range IoT physical layer key generation,” Computer Communications, vol. 191, pp. 108–118, 2022, doi: 10.1016/j.comcom.2022.04.027.
    DOI arXiv 
    @article{yang2022channel,
  title = {A channel perceiving attack and the countermeasure on long-range {IoT} physical layer key generation},
  author = {Yang, Lu and Gao, Yansong and Zhang, Junqing and Camtepe, Seyit and Jayalath, Dhammika},
  journal = {Computer Communications},
  volume = {191},
  pages = {108--118},
  year = {2022},
  doi = {10.1016/j.comcom.2022.04.027},
  arxiv = {1910.08770},
  keywords = {keygen}
}
  10. 2022
    X. Zhang, G. Li, J. Zhang, A. Hu, Z. Hou, and B. Xiao, “Deep-Learning-Based Physical-Layer Secret Key Generation for FDD Systems,” IEEE Internet of Things Journal, vol. 9, no. 8, pp. 6081–6094, 2022, doi: 10.1109/jiot.2021.3109272.
    DOI arXiv 
    @article{zhang2022deep,
  title = {Deep-Learning-Based Physical-Layer Secret Key Generation for {FDD} Systems},
  author = {Zhang, Xinwei and Li, Guyue and Zhang, Junqing and Hu, Aiqun and Hou, Zongyue and Xiao, Bin},
  journal = {IEEE Internet of Things Journal},
  volume = {9},
  number = {8},
  pages = {6081--6094},
  year = {2022},
  doi = {10.1109/jiot.2021.3109272},
  arxiv = {2105.08364},
  keywords = {keygen}
}
  11. 2022
    T. Lu, L. Chen, J. Zhang, K. Cao, and A. Hu, “Reconfigurable Intelligent Surface Assisted Secret Key Generation in Quasi-Static Environments,” IEEE Communications Letters, vol. 26, no. 2, pp. 244–248, 2022, doi: 10.1109/lcomm.2021.3130635.
    DOI 
    @article{lu2021reconfigurable,
  title = {Reconfigurable Intelligent Surface Assisted Secret Key Generation in Quasi-Static Environments},
  author = {Lu, Tianyu and Chen, Liquan and Zhang, Junqing and Cao, Kailin and Hu, Aiqun},
  journal = {IEEE Communications Letters},
  volume = {26},
  number = {2},
  pages = {244--248},
  year = {2022},
  doi = {10.1109/lcomm.2021.3130635},
  keywords = {keygen}
}
  12. 2021
    W. Xu, J. Zhang, S. Huang, C. Luo, and W. Li, “Key generation for Internet of Things: a contemporary survey,” ACM Computing Surveys (CSUR), vol. 54, no. 1, pp. 1–37, 2021, doi: 10.1145/3429740.
    DOI arXiv 
    @article{xu2021key,
  title = {Key generation for {Internet} of Things: a contemporary survey},
  author = {Xu, Weitao and Zhang, Junqing and Huang, Shunqi and Luo, Chengwen and Li, Wei},
  journal = {ACM Computing Surveys (CSUR)},
  volume = {54},
  number = {1},
  pages = {1--37},
  year = {2021},
  doi = {10.1145/3429740},
  arxiv = {2007.15956},
  keywords = {keygen,survey}
}
  13. 2021
    G. Li, Z. Zhang, J. Zhang, and A. Hu, “Encrypting wireless communications on the fly using one-time pad and key generation,” IEEE Internet of Things Journal, vol. 8, no. 1, pp. 357–369, 2021, doi: 10.1109/jiot.2020.3004451.
    DOI 
    @article{li2020encrypting,
  title = {Encrypting wireless communications on the fly using one-time pad and key generation},
  author = {Li, Guyue and Zhang, Zheying and Zhang, Junqing and Hu, Aiqun},
  journal = {IEEE Internet of Things Journal},
  volume = {8},
  number = {1},
  pages = {357--369},
  year = {2021},
  doi = {10.1109/jiot.2020.3004451},
  keywords = {keygen}
}
  14. 2021
    G. Li, C. Sun, E. A. Jorswieck, J. Zhang, A. Hu, and Y. Chen, “Sum secret key rate maximization for TDD multi-user massive MIMO wireless networks,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 968–982, 2021, doi: 10.1109/tifs.2020.3026466.
    DOI arXiv 
    @article{li2020sum,
  title = {Sum secret key rate maximization for {TDD} multi-user massive {MIMO} wireless networks},
  author = {Li, Guyue and Sun, Chen and Jorswieck, Eduard A and Zhang, Junqing and Hu, Aiqun and Chen, You},
  journal = {IEEE Transactions on Information Forensics and Security},
  volume = {16},
  pages = {968--982},
  year = {2021},
  doi = {10.1109/tifs.2020.3026466},
  arxiv = {2009.09142},
  keywords = {keygen}
}
  15. 2020
    J. Zhang, G. Li, A. Marshall, A. Hu, and L. Hanzo, “A new frontier for IoT security emerging from three decades of key generation relying on wireless channels,” IEEE Access, vol. 8, pp. 138406–138446, 2020, doi: 10.1109/access.2020.3012006.
    DOI 
    @article{zhang2020new,
  title = {A new frontier for {IoT} security emerging from three decades of key generation relying on wireless channels},
  author = {Zhang, Junqing and Li, Guyue and Marshall, Alan and Hu, Aiqun and Hanzo, Lajos},
  journal = {IEEE Access},
  volume = {8},
  pages = {138406--138446},
  year = {2020},
  doi = {10.1109/access.2020.3012006},
  keywords = {keygen,survey}
}
  16. 2019
    J. Zhang, S. Rajendran, Z. Sun, R. Woods, and L. Hanzo, “Physical layer security for the Internet of Things: Authentication and key generation,” IEEE Wireless Communications, vol. 26, no. 5, pp. 92–98, 2019, doi: 10.1109/mwc.2019.1800455.
    DOI 
    @article{zhang2019physical,
  title = {Physical layer security for the {Internet} of Things: Authentication and key generation},
  author = {Zhang, Junqing and Rajendran, Sekhar and Sun, Zhi and Woods, Roger and Hanzo, Lajos},
  journal = {IEEE Wireless Communications},
  volume = {26},
  number = {5},
  pages = {92--98},
  year = {2019},
  doi = {10.1109/mwc.2019.1800455},
  keywords = {rffi,keygen,survey}
}
  17. 2019
    G. Li, C. Sun, J. Zhang, E. Jorswieck, B. Xiao, and A. Hu, “Physical layer key generation in 5G and beyond wireless communications: Challenges and opportunities,” Entropy, vol. 21, no. 5, p. 497, 2019, doi: 10.3390/e21050497.
    DOI 
    @article{li2019physical,
  title = {Physical layer key generation in {5G} and beyond wireless communications: Challenges and opportunities},
  author = {Li, Guyue and Sun, Chen and Zhang, Junqing and Jorswieck, Eduard and Xiao, Bin and Hu, Aiqun},
  journal = {Entropy},
  volume = {21},
  number = {5},
  pages = {497},
  year = {2019},
  doi = {10.3390/e21050497},
  keywords = {keygen,survey}
}
  18. 2019
    J. Zhang, M. Ding, G. Li, and A. Marshall, “Key generation based on large scale fading,” IEEE Transactions on Vehicular Technology, vol. 68, no. 8, pp. 8222–8226, 2019, doi: 10.1109/tvt.2019.2922443.
    DOI 
    @article{zhang2019key,
  title = {Key generation based on large scale fading},
  author = {Zhang, Junqing and Ding, Ming and Li, Guyue and Marshall, Alan},
  journal = {IEEE Transactions on Vehicular Technology},
  volume = {68},
  number = {8},
  pages = {8222--8226},
  year = {2019},
  doi = {10.1109/tvt.2019.2922443},
  keywords = {keygen}
}
  19. 2019
    J. Zhang, M. Ding, D. López-Pérez, A. Marshall, and L. Hanzo, “Design of an efficient OFDMA-based multi-user key generation protocol,” IEEE Transactions on Vehicular Technology, vol. 68, no. 9, pp. 8842–8852, 2019, doi: 10.1109/tvt.2019.2929362.
    DOI 
    @article{zhang2019design,
  title = {Design of an efficient {OFDMA}-based multi-user key generation protocol},
  author = {Zhang, Junqing and Ding, Ming and L{\'o}pez-P{\'e}rez, David and Marshall, Alan and Hanzo, Lajos},
  journal = {IEEE Transactions on Vehicular Technology},
  volume = {68},
  number = {9},
  pages = {8842--8852},
  year = {2019},
  doi = {10.1109/tvt.2019.2929362},
  keywords = {keygen}
}
  20. 2019
    L. Peng, G. Li, J. Zhang, R. Woods, M. Liu, and A. Hu, “An investigation of using loop-back mechanism for channel reciprocity enhancement in secret key generation,” IEEE Transactions on Mobile Computing, vol. 18, no. 3, pp. 507–519, 2019, doi: 10.1109/tmc.2018.2842215.
    DOI 
    @article{linning2018investigation,
  title = {An investigation of using loop-back mechanism for channel reciprocity enhancement in secret key generation},
  author = {Peng, Linning and Li, Guyue and Zhang, Junqing and Woods, Roger and Liu, Ming and Hu, Aiqun},
  journal = {IEEE Transactions on Mobile Computing},
  volume = {18},
  number = {3},
  pages = {507--519},
  year = {2019},
  doi = {10.1109/tmc.2018.2842215},
  keywords = {keygen}
}
  21. 2018
    G. Li, A. Hu, J. Zhang, L. Peng, C. Sun, and D. Cao, “High-agreement uncorrelated secret key generation based on principal component analysis preprocessing,” IEEE Transactions on Communications, vol. 66, no. 7, pp. 3022–3034, 2018, doi: 10.1109/tcomm.2018.2814607.
    DOI 
    @article{li2018high,
  title = {High-agreement uncorrelated secret key generation based on principal component analysis preprocessing},
  author = {Li, Guyue and Hu, Aiqun and Zhang, Junqing and Peng, Linning and Sun, Chen and Cao, Daming},
  journal = {IEEE Transactions on Communications},
  volume = {66},
  number = {7},
  pages = {3022--3034},
  year = {2018},
  doi = {10.1109/tcomm.2018.2814607},
  keywords = {keygen}
}
  22. 2018
    G. Li, A. Hu, C. Sun, and J. Zhang, “Constructing reciprocal channel coefficients for secret key generation in FDD systems,” IEEE Communications Letters, vol. 22, no. 12, pp. 2487–2490, 2018, doi: 10.1109/lcomm.2018.2875708.
    DOI 
    @article{li2018constructing,
  title = {Constructing reciprocal channel coefficients for secret key generation in {FDD} systems},
  author = {Li, Guyue and Hu, Aiqun and Sun, Chen and Zhang, Junqing},
  journal = {IEEE Communications Letters},
  volume = {22},
  number = {12},
  pages = {2487--2490},
  year = {2018},
  doi = {10.1109/lcomm.2018.2875708},
  keywords = {keygen}
}
  23. 2018
    J. Zhang, A. Marshall, and L. Hanzo, “Channel-envelope differencing eliminates secret key correlation: LoRa-based key generation in low power wide area networks,” IEEE Transactions on Vehicular Technology, vol. 67, no. 12, pp. 12462–12466, 2018, doi: 10.1109/tvt.2018.2877201.
    DOI arXiv 
    @article{zhang2018channel,
  title = {Channel-envelope differencing eliminates secret key correlation: {LoRa}-based key generation in low power wide area networks},
  author = {Zhang, Junqing and Marshall, Alan and Hanzo, Lajos},
  journal = {IEEE Transactions on Vehicular Technology},
  volume = {67},
  number = {12},
  pages = {12462--12466},
  year = {2018},
  doi = {10.1109/tvt.2018.2877201},
  arxiv = {1810.08031},
  keywords = {keygen}
}
  24. 2017
    J. Zhang, T. Q. Duong, R. Woods, and A. Marshall, “Securing wireless communications of the Internet of things from the physical layer, An overview,” Entropy, vol. 19, no. 8, p. 420, 2017, doi: 10.3390/e19080420.
    DOI arXiv 
    @article{zhang2017securing,
  title = {Securing wireless communications of the {Internet} of things from the physical layer, An overview},
  author = {Zhang, Junqing and Duong, Trung Q and Woods, Roger and Marshall, Alan},
  journal = {Entropy},
  volume = {19},
  number = {8},
  pages = {420},
  year = {2017},
  doi = {10.3390/e19080420},
  arxiv = {1708.05124},
  keywords = {keygen,survey}
}
  25. 2017
    J. Zhang, B. He, T. Q. Duong, and R. Woods, “On the key generation from correlated wireless channels,” IEEE Communications Letters, vol. 21, no. 4, pp. 961–964, 2017, doi: 10.1109/lcomm.2017.2649496.
    DOI 
    @article{zhang2017key,
  title = {On the key generation from correlated wireless channels},
  author = {Zhang, Junqing and He, Biao and Duong, Trung Q and Woods, Roger},
  journal = {IEEE Communications Letters},
  volume = {21},
  number = {4},
  pages = {961--964},
  year = {2017},
  doi = {10.1109/lcomm.2017.2649496},
  keywords = {keygen}
}
  26. 2016
    J. Zhang, A. Marshall, R. Woods, and T. Q. Duong, “Efficient key generation by exploiting randomness from channel responses of individual OFDM subcarriers,” IEEE Transactions on Communications, vol. 64, no. 6, pp. 2578–2588, 2016, doi: 10.1109/tcomm.2016.2552165.
    DOI 
    @article{zhang2016efficient,
  title = {Efficient key generation by exploiting randomness from channel responses of individual {OFDM} subcarriers},
  author = {Zhang, Junqing and Marshall, Alan and Woods, Roger and Duong, Trung Q},
  journal = {IEEE Transactions on Communications},
  volume = {64},
  number = {6},
  pages = {2578--2588},
  year = {2016},
  doi = {10.1109/tcomm.2016.2552165},
  keywords = {keygen}
}
  27. 2016
    J. Zhang, T. Q. Duong, A. Marshall, and R. Woods, “Key generation from wireless channels: A review,” IEEE Access, vol. 4, pp. 614–626, 2016, doi: 10.1109/access.2016.2521718.
    DOI 
    @article{zhang2016key,
  title = {Key generation from wireless channels: A review},
  author = {Zhang, Junqing and Duong, Trung Q and Marshall, Alan and Woods, Roger},
  journal = {IEEE Access},
  volume = {4},
  pages = {614--626},
  year = {2016},
  doi = {10.1109/access.2016.2521718},
  keywords = {keygen,survey}
}
  28. 2016
    J. Zhang et al., “Experimental study on key generation for physical layer security in wireless communications,” IEEE Access, vol. 4, pp. 4464–4477, 2016, doi: 10.1109/access.2016.2604618.
    DOI 
    @article{zhang2016experimental,
  title = {Experimental study on key generation for physical layer security in wireless communications},
  author = {Zhang, Junqing and Woods, Roger and Duong, Trung Q and Marshall, Alan and Ding, Yuan and Huang, Yi and Xu, Qian},
  journal = {IEEE Access},
  volume = {4},
  pages = {4464--4477},
  year = {2016},
  doi = {10.1109/access.2016.2604618},
  keywords = {keygen}
}

Refereed Conference Proceedings

  1. 2024
    C. Chen and J. Zhang, “Machine Learning Enhanced Near-Field Secret Key Generation for Extremely Large-Scale MIMO,” in Proc. IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2024, pp. 183–188. doi: 10.1109/icmlcn59089.2024.10624801.
    DOI 
    @inproceedings{chen2024machine,
  title = {Machine Learning Enhanced Near-Field Secret Key Generation for Extremely Large-Scale MIMO},
  author = {Chen, Chen and Zhang, Junqing},
  booktitle = {Proc. IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)},
  pages = {183--188},
  year = {2024},
  doi = {10.1109/icmlcn59089.2024.10624801},
  keywords = {keygen}
}
  2. 2023
    C. Chen, J. Zhang, T. Lu, M. Sandell, and L. Chen, “Machine Learning-Based Secret Key Generation for IRS-assisted Multi-antenna Systems,” in Proc. IEEE ICC, 2023, pp. 5861–5866. doi: 10.1109/icc45041.2023.10279041.
    DOI arXiv 
    @inproceedings{chen2023machine,
  title = {Machine Learning-Based Secret Key Generation for {IRS}-assisted Multi-antenna Systems},
  author = {Chen, Chen and Zhang, Junqing and Lu, Tianyu and Sandell, Magnus and Chen, Liquan},
  booktitle = {Proc. IEEE ICC},
  pages = {5861--5866},
  year = {2023},
  doi = {10.1109/icc45041.2023.10279041},
  arxiv = {2301.08179},
  keywords = {keygen}
}
  3. 2023
    T. Lu, L. Chen, J. Zhang, C. Chen, and T. Duong, “Reconfigurable Intelligent Surface-Assisted Key Generation for Millimeter Wave Communications,” in Proc. IEEE WCNC Workshop, 2023, pp. 1–6. doi: 10.1109/wcnc55385.2023.10119128.
    DOI 
    @inproceedings{chen2023ris,
  title = {Reconfigurable Intelligent Surface-Assisted Key Generation for Millimeter Wave Communications},
  author = {Lu, Tianyu and Chen, Liquan and Zhang, Junqing and Chen, Chen and Duong, Trung},
  booktitle = {Proc. IEEE WCNC Workshop},
  pages = {1--6},
  year = {2023},
  doi = {10.1109/wcnc55385.2023.10119128},
  keywords = {keygen}
}
  4. 2023
    T. Lu, L. Chen, J. Zhang, C. Chen, T. Q. Duong, and M. Matthaiou, “Precoding Design for Key Generation in Near-Field Extremely Large-Scale MIMO Communications,” in Proc. IEEE GLOBECOM Workshops, 2023, pp. 172–177. doi: 10.1109/gcwkshps58843.2023.10464921.
    DOI 
    @inproceedings{lu2023precoding,
  title = {Precoding Design for Key Generation in Near-Field Extremely Large-Scale {MIMO} Communications},
  author = {Lu, Tianyu and Chen, Liquan and Zhang, Junqing and Chen, Chen and Duong, Trung Q and Matthaiou, Michail},
  booktitle = {Proc. IEEE GLOBECOM Workshops},
  pages = {172--177},
  year = {2023},
  doi = {10.1109/gcwkshps58843.2023.10464921},
  keywords = {keygen}
}
  5. 2022
    G. Li, H. Yang, J. Zhang, H. Liu, and A. Hu, “Fast and secure key generation with channel obfuscation in slowly varying environments,” in Proc. IEEE Conference on Computer Communications (INFOCOM), 2022, pp. 1–10. doi: 10.1109/infocom48880.2022.9796694.
    DOI arXiv 
    @inproceedings{li2022fast,
  title = {Fast and secure key generation with channel obfuscation in slowly varying environments},
  author = {Li, Guyue and Yang, Haiyu and Zhang, Junqing and Liu, Hongbo and Hu, Aiqun},
  booktitle = {Proc. IEEE Conference on Computer Communications (INFOCOM)},
  pages = {1--10},
  year = {2022},
  doi = {10.1109/infocom48880.2022.9796694},
  arxiv = {2112.02273},
  keywords = {keygen}
}
  6. 2020
    Y. Chen, G. Li, C. Sun, J. Zhang, E. Jorswieck, and B. Xiao, “Beam-domain secret key generation for multi-user massive MIMO networks,” in Proc. IEEE International Conference on Communications (ICC), 2020, pp. 1–6. doi: 10.1109/icc40277.2020.9149130.
    DOI arXiv 
    @inproceedings{chen2020beam,
  title = {Beam-domain secret key generation for multi-user massive {MIMO} networks},
  author = {Chen, You and Li, Guyue and Sun, Chen and Zhang, Junqing and Jorswieck, Eduard and Xiao, Bin},
  booktitle = {Proc. IEEE International Conference on Communications (ICC)},
  pages = {1--6},
  year = {2020},
  doi = {10.1109/icc40277.2020.9149130},
  arxiv = {2005.08476},
  keywords = {keygen}
}
  7. 2018
    L. Peng, G. Li, J. Zhang, and A. Hu, “Securing M2M transmissions using nonreconciled secret keys generated from wireless channels,” in Proc. IEEE Globecom Workshops (GC Wkshps), 2018, pp. 1–6. doi: 10.1109/glocomw.2018.8644401.
    DOI 
    @inproceedings{peng2018securing,
  title = {Securing M2M transmissions using nonreconciled secret keys generated from wireless channels},
  author = {Peng, Linning and Li, Guyue and Zhang, Junqing and Hu, Aiqun},
  booktitle = {Proc. IEEE Globecom Workshops (GC Wkshps)},
  pages = {1--6},
  year = {2018},
  doi = {10.1109/glocomw.2018.8644401},
  keywords = {keygen}
}
  8. 2017
    G. Li, A. Hu, J. Zhang, and B. Xiao, “Security analysis of a novel artificial randomness approach for fast key generation,” in Proc. IEEE Global Communications Conference, 2017, pp. 1–6. doi: 10.1109/glocom.2017.8254029.
    DOI 
    @inproceedings{li2017security,
  title = {Security analysis of a novel artificial randomness approach for fast key generation},
  author = {Li, Guyue and Hu, Aiqun and Zhang, Junqing and Xiao, Bin},
  booktitle = {Proc. IEEE Global Communications Conference},
  pages = {1--6},
  year = {2017},
  doi = {10.1109/glocom.2017.8254029},
  keywords = {keygen}
}
  9. 2016
    J. Zhang, R. Woods, T. Q. Duong, A. Marshall, and Y. Ding, “Experimental study on channel reciprocity in wireless key generation,” in Proc. IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016, pp. 1–5. doi: 10.1109/spawc.2016.7536825.
    DOI 
    @inproceedings{zhang2016spawc,
  title = {Experimental study on channel reciprocity in wireless key generation},
  author = {Zhang, Junqing and Woods, Roger and Duong, Trung Q and Marshall, Alan and Ding, Yuan},
  booktitle = {Proc. IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)},
  pages = {1--5},
  year = {2016},
  doi = {10.1109/spawc.2016.7536825},
  keywords = {keygen}
}
  10. 2016
    Y. Ding, J. Zhang, and V. Fusco, “Secure Wireless Key Establishment Using Retrodirective Array,” in Proc. IEEE Globecom Workshops (GC Wkshps), 2016, pp. 1–6. doi: 10.1109/glocomw.2016.7849041.
    DOI 
    @inproceedings{ding2016secure,
  title = {Secure Wireless Key Establishment Using Retrodirective Array},
  author = {Ding, Yuan and Zhang, Junqing and Fusco, Vincent},
  booktitle = {Proc. IEEE Globecom Workshops (GC Wkshps)},
  pages = {1--6},
  year = {2016},
  doi = {10.1109/glocomw.2016.7849041},
  keywords = {keygen}
}
  11. 2015
    J. Zhang, R. Woods, A. Marshall, and T. Q. Duong, “An effective key generation system using improved channel reciprocity,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, pp. 1727–1731. doi: 10.1109/icassp.2015.7178266.
    DOI 
    @inproceedings{zhang2015effective,
  title = {An effective key generation system using improved channel reciprocity},
  author = {Zhang, Junqing and Woods, Roger and Marshall, Alan and Duong, Trung Q},
  booktitle = {Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages = {1727--1731},
  year = {2015},
  doi = {10.1109/icassp.2015.7178266},
  keywords = {keygen}
}
  12. 2015
    J. Zhang, R. Woods, A. Marshall, and T. Q. Duong, “Verification of key generation from individual OFDM subcarrier’s channel response,” in Proc. IEEE Globecom Workshops (GC Wkshps), 2015, pp. 1–6. doi: 10.1109/glocomw.2015.7414111.
    DOI 
    @inproceedings{zhang2015verification,
  title = {Verification of key generation from individual {OFDM} subcarrier's channel response},
  author = {Zhang, Junqing and Woods, Roger and Marshall, Alan and Duong, Trung Q},
  booktitle = {Proc. IEEE Globecom Workshops (GC Wkshps)},
  pages = {1--6},
  year = {2015},
  doi = {10.1109/glocomw.2015.7414111},
  keywords = {keygen}
}
  13. 2014
    J. Zhang, A. Marshall, R. Woods, and T. Q. Duong, “Secure key generation from OFDM subcarriers’ channel responses,” in Proc. IEEE Globecom Workshops (GC Wkshps), 2014, pp. 1302–1307. doi: 10.1109/glocomw.2014.7063613.
    DOI 
    @inproceedings{zhang2014secure,
  title = {Secure key generation from {OFDM} subcarriers' channel responses},
  author = {Zhang, Junqing and Marshall, Alan and Woods, Roger and Duong, Trung Q},
  booktitle = {Proc. IEEE Globecom Workshops (GC Wkshps)},
  pages = {1302--1307},
  year = {2014},
  doi = {10.1109/glocomw.2014.7063613},
  keywords = {keygen}
}