Hao Gao

Hao Gao

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

Radio Frequency Fingerprint Identification Dataset

Published:

This paper summarizes Radio Frequency Fingerprint Identification research datasets that are publicly available.

LoRa RFFI Dataset by University of Liverpool

We have made the dataset and code for our paper open source.

G. Shen, J. Zhang, A. Marshall, and J. Cavallaro. “Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa,” IEEE Trans. Inf. Forensics Security, 2022.

The dataset is accessible from IEEE Dataport and the code can be downloaded from github.

GENESYS Lab at Northeastern University

GENESYS Lab at Northeastern University link has made several datasets available.

LoRa Radio Data by Northeastern University and InterDigital

Download link

Reference

  • Al-Shawabka, A., Pietraski, P., Pattar, S.B., Restuccia, F., & Melodia, T. (2021, July 26-29). DeepLoRa: Fingerprinting LoRa Devices at Scale Through Deep Learning and Data Augmentation. [Paper presentation]. 22nd International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Shanghai, China.

Drone Remote Controller RF Signal Dataset by North Carolina State University

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Reference:

  • M. Ezuma, F. Erden, C. Kumar, O. Ozdemir, and I. Guvenc, “Micro-UAV detection and classification from RF fingerprints using machine learning techniques,” in Proc. IEEE Aerosp. Conf., Big Sky, MT, Mar. 2019, pp. 1-13.
  • M. Ezuma, F. Erden, C. K. Anjinappa, O. Ozdemir, and I. Guvenc, “Detection and classification of UAVs using RF fingerprints in the presence of Wi-Fi and Bluetooth interference,” IEEE Open J. Commun. Soc., vol. 1, no. 1, pp. 60-79, Nov. 2019.
  • E. Ozturk, F. Erden, and I. Guvenc, “RF-based low-SNR classification of UAVs using convolutional neural networks.” arXiv preprint arXiv:2009.05519, Sept. 2020.

ADS-B Dataset by Embry-Riddle Aeronautical University

Download link Reference:

  • Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, and Houbing Song, “Class-Incremental Learning for Wireless Device Identification in IoT ,” IEEE Internet of Things, vol. 8, no. 23, pp. 17227 - 17235, Dec. 2021.