Publication - Radio Frequency Fingerprinting Identification @ University of Liverpool



  1. 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, Linning Peng, and Xianbin Wang, “Radio Frequency Fingerprint Identificatio for LoRa Using Deep Learning,” IEEE JSAC, 2021, accepted.
  2. 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, accepted, 2021. link
  3. 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
  4. 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
  5. 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
  6. 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. 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.
  2. 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