Junqing Zhang

Junqing Zhang

A passionate wireless security and sensing researcher

Publication (By Topics) - Radio Frequency Fingerprint Identification @ University of Liverpool

Published:

* denotes corresponding author.

Survey/Tutorial

  1. Junqing Zhang*, Francesco Ardizzon, Mattia Piana, Guanxiong Shen, and Stefano Tomasin, “Physical Layer-Based Device Fingerprinting For Wireless Security: From Theory To Practice,” IEEE Transactions on Information Forensics and Security, vol. 20, pp. 5296 - 5325, 2025. IEEE
  2. Lingnan Xie, Linning Pleng, Junqing Zhang and Aiqun Hu, “Radio frequency fingerprint identification for Internet of Things: A survey”, Security and Safety, vol. 3, article number. 2023022. link
  3. Junqing Zhang*, Guanxiong Shen, Walid Saad, and Kaushik Chowdhury, “Radio Frequency Fingerprint Identification for Device Authentication in the Internet of Things,” IEEE Communications Magazine, vol. 61, no. 10, pp. 110 - 115, Oct. 2023. IEEE
  4. Guanxiong Shen, Junqing Zhang*, and Alan Marshall, “Deep Learning-Powered Radio Frequency Fingerprint Identification: Methodology and Case Study,” IEEE Communications Magazine, vol. 61, no. 9, pp. 170 - 176, Sept. 2023. IEEE
  5. Junqing Zhang, Chip Hong Chang, Chongyan Gu, and Lajos Hanzo, “Radio Frequency Fingerprints vs. Physical Unclonable Functions - Are They Twins, Competitors or Allies?,” IEEE Network, vol. 36, no. 6, pp. 68 - 75, Nov./Dec. 2022. link
  6. Junqing Zhang, Sekhar Rajendran, Zhi Sun, Roger Woods, and Lajos Hanzo, “Physical Layer Security for the Internet of Things: Authentication and Key Generation,” IEEE Wireless Communications, vol. 26, no. 5, pp. 92 - 98, Oct. 2019. link

LoRa RFFI

Demonstration

Journal

  1. Jie Ma, Junqing Zhang, Guanxiong Shen, Linning Peng, and Alan Marshall, “Towards Channel-Robust and Receiver-Independent Radio Frequency Fingerprint Identification,” IEEE Transactions on Information Forensics and Security, vol. xx, pp. xxx, 2025. IEEE.
  2. Guanxiong Shen, Junqing Zhang, Xuyu Wang, and Shiwen Mao, “Federated Radio Frequency Fingerprint Identification Powered by Unsupervised Contrastive Learning,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 9204-9215, 2024. link
  3. Guanxiong Shen, Junqing Zhang*, Alan Marshall, Roger Woods, Joseph Cavallaro, and Liquan Chen, “Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identification”, IEEE Transactions on Mobile Computing, vol. 23, no. 7, pp. 7618 - 7634, Jul. 2024. IEEE, arXiv link
  4. Guanxiong Shen, and Junqing Zhang*, “Exploration of transferable deep learning-aided radio frequency fingerprint identification systems”, Security and Safety, vol. 3, article number. 2023019. link
  5. Guanxiong Shen, Junqing Zhang*, Alan Marshall, Mikko Valkama, and Joseph Cavallaro, “Towards Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 2355 - 2367, Apr. 2023. IEEE, arXiv link
  6. Guanxiong Shen, Junqing Zhang*, Alan Marshall, and Joseph Cavallaro, “Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa,” IEEE Transactions on Information Forensics and Security, vol. 17, pp. 774 - 787, Feb. 2022. IEEE, arXiv, Dataset, code at github
  7. Guanxiong Shen, Junqing Zhang*, Alan Marshall, Linning Peng, and Xianbin Wang, “Radio Frequency Fingerprint Identification for LoRa Using Deep Learning,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 8, pp. 2604 - 2616, Aug. 2021. link

Conference

  1. Jie Ma, Junqing Zhang, Guanxiong, Shen, Linning Peng and Alan Marshall, “Towards Channel-Robust Radio Frequency Fingerprint Identification Using Contrastive Learning”, in Proc. IEEE WCNC, 2025.
  2. Guanxiong Shen, Junqing Zhang, Alan Marshall, Mikko Valkama, and Joseph Cavallaro, “Radio Frequency Fingerprint Identification for Security in Low-Cost IoT Devices”, in Proc. Asilomar, 2021, arXiv link, IEEE link
  3. Guanxiong Shen, Junqing Zhang, Alan Marshall, Linning Peng, and Xianbin Wang, “Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN,” in Proc. IEEE INFOCOM, 2021. link

Wi-Fi RFFI

Demonstration

Journal

  1. Lingnan Xie, Linning Peng, Junqing Zhang, Ang Gao, Hua Fu, and Junxian Shi, “Channel2Channel: Towards robust radio frequency fingerprint extraction and identification,” IEEE Journal on Selected Areas in Communications, 2025. IEEE
  2. Yuexiu Xing, Aiqun Hu, Junqing Zhang, Linning Peng, and Xianbin Wang, “Design of A Channel Robust Radio Frequency Fingerprint Identification Scheme,” IEEE Internet of Things Journal, vol. 10, no. 8, pp. 6946-6959, Apr. 2023. accepted link

Conference

  1. Lingnan Xie, Linning Peng, and Junqing Zhang, “Towards Robust RF Fingerprint Identification Using Spectral Regrowth and Carrier Frequency Offset”, in Proc. IEEE INFOCOM, 2025.

BLE RFFI

Conference

  1. Ningze Yuan, Junqing Zhang, Yuan Ding, and Simon Cotton, “Robust Radio Frequency Fingerprint Identification for Bluetooth Low Energy Under Low SNR and Channel Variations”, in Proc. IEEE WCNC, 2025.

LTE RFFI

Journal

  1. Pengcheng Yin, Linning Peng, Guanxiong Shen, Junqing Zhang, Ming Liu, Hua Fu, Aiqun Hu, and Xianbin Wang, “Multi-Channel CNN-Based Open-Set RF Fingerprint Identification for LTE Devices,” IEEE Transactions on Cognitive Communications and Networking, vol. 10, no. 5, pp. 1788-1800, Oct. 2024. link
  2. Linning Peng, Zhenni Wu, Junqing Zhang, Ming Liu, Hua Fu, and Aiqun Hu, “Hybrid RFF Identification for LTE Using Wavelet Coefficient Graph and Differential Spectrum,” IEEE Transactions on Vehicular Technology, vol. 73, no. 8, pp. 11621-11636, Jan. 2024. link

Conference

  1. Min Wang, Linning Peng, Lingnan Xie, Junqing Zhang, Ming Liu, and Hua Fu, “Design of Noise Robust Open-Set Radio Frequency Fingerprint Identification Method”, in Proc. IEEE INFOCOM Workshop, 2024.
  2. Yanjin Qiu, Linning Peng, Junqing Zhang, Ming Liu, Hua Fu, and Aiqun Hu, “Signal-independent RFF Identification for LTE Mobile Devices via Ensemble Deep Learning,”, in Proc. IEEE GLOBECOM, 2022

ZigBee RFFI

Journal

  1. Linning Peng, Junqing Zhang, Ming Liu and Aiqun Hu, “Deep Learning Based RF Fingerprint Identification Using Differential Constellation Trace Figure,” IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 1091 - 1095, Jan. 2020 link
  2. Linning Peng, Aiqun Hu, Junqing Zhang, Yu Jiang, Jiabao Yu, and Yan Yan, “Design of a hybrid RF fingerprint extraction and device classification scheme,” IEEE Internet of Things Journal, vol. 6, no. 1, pp. 349 – 360, 2019. link
  3. Yuexiu Xing, Aiqun Hu, Junqing Zhang, Linning Peng, and Guyue Li, “On radio frequency fingerprint identification for DSSS systems in low SNR scenarios,” IEEE Communications Letters, vol. 22, no. 11, pp. 2326 -2329, Nov., 2018. link

Conference

  1. Yuexiu Xing, Xiaoxing Chen, Junqing Zhang, Aiqun Hu, and Dengyin Zhang, “A Noise-Robust Radio Frequency Fingerprint Identification Scheme for Internet of Things Devices”, in Proc. IEEE INFOCOM Workshop, 2023.

Power Amplifier

Journal

  1. Yuepei Li, Symon K. Podilchak, Junqing Zhang, Simon L. Cotton, Tharmalingam Ratnarajah, and Yuan Ding, “RFFI Protocols Using Antenna Mutual Coupling and Power Amplifier Nonlinear Memory Effects,” IEEE Communications Letters, vol. 29, no. 6, pp. 1250 - 1254, Jun. 2025. IEEE
  2. Yuepei Li, Kai Xu, Junqing Zhang, Chongyan Gu, Yuan Ding, George Goussetis, and Symon K. Podilchak, “PUF-Assisted Radio Frequency Fingerprinting Exploiting Power Amplifier Active Load-pulling”, IEEE Transactions on Information Forensics and Security, vol. 19, pp. 5015 - 5029, 2024. link
  3. Yuepei Li, Yuan Ding, Junqing Zhang, George Goussetis, and Symon K. Podilchak, “Radio Frequency Fingerprinting Exploiting Non-Linear Memory Effect,” IEEE Transactions on Cognitive Communications and Networking, vol. 8, no. 4, pp. 1618 - 1631, Dec. 2022. link

Conference

  1. Yuepei Li, Yuan Ding, George Goussetis, and Junqing Zhang, “Power Amplifier enabled RF Fingerprint Identification,” in Proc. IEEE Texas Symposium on Wireless and Microwave Circuits and Systems, 2021.

Attack

Journal

  1. Tianya Zhao, Junqing Zhang, Jun Dai, Xiaoyan Sun, and Xuyu Wang, “Unveiling the Threat: Data-Free Backdoor Attacks on PreTrained Models for RF Fingerprinting,” IEEE Transactions on Mobile Computing, vol. x, no. x, pp. xx, accepted. IEEE
  2. Tianya Zhao, Junqing Zhang, Shiwen Mao, and Xuyu Wang, “Explanation-Guided Backdoor Attacks Against Model-Agnostic RF Fingerprinting Systems,” IEEE Transactions on Mobile Computing, vol. 24, no. 3, pp. 2029 - 2042, Mar. 2025. IEEE

Conference

  1. Tianya Zhao, Ningning Wang, Junqing Zhang, and Xuyu Wang, “Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting”, in Proc. IEEE INFOCOM, 2025.
  2. Tianya Zhao, Xuyu Wang, Junqing Zhang, and Shiwen Mao, “Explanation-Guided Backdoor Attacks on Model-Agnostic RF Fingerprinting,” in Proc. IEEE INFOCOM, 2024.
  3. Jie Ma, Junqing Zhang, Guanxiong Shen, Alan Marshall, and Chip-Hong Chang, “White-Box Adversarial Attacks on Deep Learning-Based Radio Frequency Fingerprint Identification”, in Proc. IEEE ICC, 2023
  4. Yuxuan Xu, Ming Liu, Linning Peng, Junqing Zhang, and Yawen Zheng, “Colluding RF Fingerprint Impersonation Attack Based on Generative Adversarial Network”, in Proc. IEEE ICC, 2022

Modelling

  1. Junqing Zhang, Roger Woods, Magnus Sandell, Mikko Valkama, Alan Marshall, and Joseph Cavallaro, “Radio Frequency Fingerprint Identification for Narrowband Systems, Modelling and Classification,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 3974 - 3987, 2021. link

Others

Journal Article

  1. Yuexiu Xing, Aiqun Hu, Junqing Zhang, Jiabao Yu, Guyue Li, and Ting Wang, “Design of a Robust Radio Frequency Fingerprint Identification Scheme for Multi-Mode LFM Radar,” IEEE Internet of Things Journal, vol. 7, no. 10, pp. 10581 - 10593, Oct. 2020. . link

Conference Paper

  1. To Truong An, Simon L. Cotton, Junqing Zhang, Yuan Ding and Trung Q. Duong, “LoRa Radio Frequency Fingerprinting Using a Hybrid Quantum-Classical Neural Network”, in Proc. IEEE VTC Fall, 2024.
  2. Chuanting Zhang, Shuping Dang, Junqing Zhang, Haixia Zhang, and Mark A. Beach, “Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation”, in Proc. IEEE INFOCOM Workshop, 2023. link
  3. Hongyi Luo, Guyue Li, Yuexiu Xing, Junqing Zhang, Aiqun Hu, and Xianbin Wang, “RelativeRFF: Multi-Antenna Device Identification in Multipath Propagation Scenarios”, in Proc. IEEE ICC, 2023

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