LoRa_Federated_RFFI_dataset

Citation Author(s):
Guanxiong
Shen
Southeast University
Junqing
Zhang
University of Liverpool
Submitted by:
Guanxiong Shen
Last updated:
Tue, 09/24/2024 - 12:21
DOI:
10.21227/nkdv-az07
License:
Creative Commons Attribution
578 Views
Categories:
Wireless Networking
IoT
Machine Learning
Keywords:
LoRa, Device Authentication, Radio Frequency Fingerprint Identification, Deep Learning
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Abstract 

This dataset contains LoRa physical layer signals collected from 60 LoRa devices and six SDRs (PLUTO-SDR, USRP B200 mini, USRP B210, USRP N210, RTL-SDR). It is intended for use by researchers in the development of a federated RFFI system, whereby the signals collected from different receivers and locations can be employed for evaluation purposes.

More details can be found at https://github.com/gxhen/federatedRFFI

Please cite the paper 'Federated Radio Frequency Fingerprint Identification Powered by Unsupervised Contrastive Learning', IEEE Trans. Inf. Forensics Security (TIFS), 2024.

Instructions: 

Please refer to the README file at https://github.com/gxhen/federatedRFFI for more information.

 

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