Dataset and Code

We have made some datasets and codes publicly available.

Radio Frequency Fingerprint Identification (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
   • Dataset: LoRa Federated RFFI
   • LoRa Federated RFFI
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, vol. 23, no. 7, pp. 7618 - 7634, Jul. 2024. IEEE, arXiv link
   • Dataset: Radio Frequency Fingerprint LoRa Dataset Multiple Receivers
   • Code: Radio Frequency Fingerprint LoRa Dataset Multiple Receivers
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
   • Dataset: LoRa RFFI with Different Spreading Factors
   • Code: LoRa RFFI with Different Spreading Factors
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: LoRa RFFI
   • Code: LoRa RFFI

Physical Layer Authentication

1. Yijia Guo, Junqing Zhang^*, and Y.-W. Peter Hong, “Practical Physical Layer Authentication for Mobile Scenarios Using a Synthetic Dataset Enhanced Deep Learning Approach,” IEEE Transactions on Information Forensics and Security, vol. xx, pp. xxx, 2025. IEEE
   • Dataset: Wi-Fi Channel State Information Dataset for Mobile Physical Layer Authentication
   • Code

WiFi Sensing

1. Guolin Yin, Junqing Zhang^*, Guanxiong Shen, and Yingying Chen, “FewSense, Towards a Scalable and Cross-Domain Wi-Fi Sensing System Using Few-Shot Learning”, IEEE Transactions on Mobile Computing, vol. 23, no. 1, pp. 453 - 468, Jan. 2024. arXiv link,IEEE
   • Dataset: We used public datasets in this paper. Please read the paper for details.
   • Code: FewSense paper.