Hao Gao

Hao Gao

Previous ML interns at HUAWEI & TOYOTA. PhD in Machine Learning and Game Theory

Publication - Radio Frequency Fingerprinting Identification @ University of Liverpool

Published:

Preprint

  1. Guanxiong Shen, Junqing Zhang*, Alan Marshall, Mikko Valkama, and Joseph Cavallaro, “Towards Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification ”, arXiv link
  2. Guanxiong Shen, Junqing Zhang*, Alan Marshall, Roger Woods, Joseph Cavallaro, and Liquan Chen, “Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identification”, arXiv link

Survey/Tutorial

  1. 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, accepted, link
  2. 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

Journal Article

  1. 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
  2. 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
  3. 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
  4. Xintao Huan, Kyeong Soo Kim, and Junqing Zhang,“NISA: Node Identification and Spoofing Attack Detection Based on Clock Features and Radio Information for Wireless Sensor Networks,” IEEE Transactions on Communications, vol. 69, no. 7, pp. 4691 - 4703, Jul. 2021. [link]
  5. 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
  6. 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
  7. 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
  8. 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 Paper

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