LORA_RFFI_DATASET_DIFFERENT_SPREADING_FACTORS

Citation Author(s):
Guanxiong
Shen
University of Liverpool
Junqing
Zhang
University of Liverpool
Alan
Marshall
University of Liverpool
Submitted by:
Guanxiong Shen
Last updated:
Tue, 04/04/2023 - 09:45
DOI:
10.21227/5q6q-c107
License:
Creative Commons Attribution
1093 Views
Categories:
Artificial Intelligence
IoT
Security
Keywords:
LoRa, Device Authentication, Radio Frequency Fingerprint Identification, Deep Learning
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Abstract 

  

This project builds a length-versatile and noise-robust LoRa radio frequency fingerprint identification (RFFI) system. The LoRa signals are collected from 10 commercial-off-the-shelf LoRa devices, with the spreading factor (SF) set to 7, 8, 9, respectively. The packet preamble part and device labels are provided.

More details can be found at gxhen/lengthVersatileRFFI (github.com). Please cite the paper 'Towards length-versatile and noise-robust radio frequency fingerprint identification', IEEE Trans. Inf. Forensics Security (TIFS), 2023.

Instructions: 

  

Please refer to the README file at gxhen/lengthVersatileRFFI (github.com) for more information.

Comments

The dataset is very helpful.

Submitted by Abdullahi Mohammad on Tue, 04/18/2023 - 10:54

作为一个初学者，能遇到这一份资料，我由心的感激。

Submitted by NI LIN on Tue, 01/23/2024 - 07:10

I want to get the data.

Submitted by QingShuo Liu on Mon, 10/23/2023 - 07:40

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