LoRa sensor data sets for RF finger printing via Self-Organizing Feature Maps

Citation Author(s):
Manish
Nair
University of Bristol
Shuping
Dang
University of Bristol
Mark
Beach
University of Bristol
Submitted by:
Mark Beach
Last updated:
Mon, 01/30/2023 - 05:50
DOI:
10.21227/63kx-sr47
Data Format:
*.MAT *.jpg
License:
Creative Commons Attribution
677 Views
Categories:
IoT
Machine Learning
Security
Keywords:
RF Cyber, RF Open Attack Surface, LoRa, RF fingerprinting, Convolutional neural network (CNN), self-organizing map (SOM)
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Abstract 

 

 

This data repository contains data sets for the RF finger printing of LoRa sensors as described in the paper by Manish Nair, Shuping Dang & Mark Beach, “IoT Device Authentication Using Self-Organizing Feature Map Data Sets” as submitted for review to the the IEEE Communications Magazine. This contribution relates to this call for papers https://www.comsoc.org/publications/magazines/ieee-communications-magazi... .

Instructions: 

There are 2 data sets.

  • Data set 1 is a zip file of the raw LoRa I/Qs captured using the test-bed described in the paper.
  • Data set 2 contains the output images in .PNG format from the application of the unsupervised batch-SOFM competitive learning algorithm to data set 1
Funding Agency: 
UKRI / EPSRC
Grant Number: 
EP/T005572/1

Comments

　

Submitted by TEST TEST on Mon, 01/23/2023 - 12:58

Dataset Files

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Documentation

AttachmentSize
File Supporting Documentation for IEEE Data-Port-v2.pdf608.18 KB

 

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