Description
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
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
| Date made available | 28 Oct 2022 |
|---|---|
| Publisher | University of Bristol |
Keywords
- RF finger printing