Radio Frequency Fingerprinting (RFF) Public Dataset

This post summarizes some open-source dataset in the RFF research community.

LoRa

University of Liverpool, UK

• 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, IEEE, arXiv, Code and Dataset

• 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, IEEE, arXiv, Dataset, Code

• 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

Northeastern University, US

• Amani Al-Shawabka, Philip Pietraski, Sudhir B. Pattar, Francesco Restuccia, and Tommaso Melodia, “DeepLoRa: Fingerprinting LoRa Devices at Scale Through Deep Learning and Data Augmentation,” Proc MobiHoc ‘21, ACM, Dataset

Oregon State University, US

• A. Elmaghbub and B. Hamdaoui, “LoRa Device Fingerprinting in the Wild: Disclosing RF Data-Driven Fingerprint Sensitivity to Deployment Variability,” IEEE Access, IEEE, Documentation

WiFi

University of California, Los Angeles, US

• S. Hanna, S. Karunaratne and D. Cabric, “WiSig: A Large-Scale WiFi Signal Dataset for Receiver and Channel Agnostic RF Fingerprinting,” IEEE Access, IEEE, Dataset