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

Name: LoRa sensor data sets for RF finger printing via Self-Organizing Feature Maps
Creator: Mark Beach
License: https://creativecommons.org/licenses/by/4.0/

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 - 10:50
DOI:: 10.21227/63kx-sr47
Data Format:: *.MAT *.jpg

1273 views

Categories:

Keywords:

RF Cyber

RF Open Attack Surface

LoRa

RF fingerprinting

Convolutional neural network (CNN)

self-organizing map (SOM)

ACCESS DATASET CITE

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-magazine/cfp/data-sets-machine-learning-wireless .

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