Dataset and Code

We have made some datasets and codes publicly available.

Please download our datasets from IEEE Dataport

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, 2024.
   • 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

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.