Junqing Zhang

Junqing Zhang

A passionate wireless security researcher at University of Liverpool

RFFI Recommended Reading List

Published:

Tutorial Papers from Our Group

  1. 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
  2. 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
  3. 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
  4. 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

Technical Papers from Our Group

LoRa RFFI

  1. 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
  2. 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, arXiv link
  3. 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
  4. 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
  5. 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

Some of the above works have made their datasets and codes available. Please visit this link for more information.

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

Tutorial Papers from Other Groups

  1. Shamnaz Riyaz, Kunal Sankhe, Stratis Ioannidis, and Kaushik Chowdhury, “Deep Learning Convolutional Neural Networks for Radio Identification,” IEEE Communications Magazine, 2018

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