LoRa_Federated_RFFI_dataset

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Shen, Guanxiong;Zhang, Junqing;Wang, Xuyu;Mao, Shiwen

Description

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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

58%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

IEEE DataPort

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Computer Networks and Communications

Field

Computer Science

Domain

Physical Sciences

Confidence Score

40%

Source

Scholar Data Model

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00