Nair_et_al_IoT_Device_Authentication_CommsMag

There are 2 zip files containing Matlab data and post processed image images (SOFMs) for the paper by Manish Nair, Shuping Dang, Tommaso Cappello & Mark Beach, “IoT Device Authentication Using Self-Organizing Feature Map Data Sets” as submitted for review to the the IEEE Communications Magazine

Data set 1 contains 6 matlab files containing the raw LoRa I/Qs. The file format is as per table 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

Complete download (zip, 63.9 MiB)

Alternative title LoRa data sets
Creator(s) Mark Beach, Kevin Morris, Eyad Arabi, Christy Gamlath, Paul Warr
Publication date 02 Nov 2022
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.3u4rzcddg047028q6snonqtnd9
Citation Mark Beach, Kevin Morris, Eyad Arabi, Christy Gamlath, Paul Warr (2022): Nair_et_al_IoT_Device_Authentication_CommsMag. https://doi.org/10.5523/bris.3u4rzcddg047028q6snonqtnd9
Total size 63.9 MiB

Sub-levels

Data Resources