# Ransomware Detection on the Bitcoin Blockchain
# using Random Forests and Self Organizing Maps
Final submission for CYO project at HarvardX PH125.9x Capstone Course
Machine learning project on BitcoinHeist data set.
https://archive.ics.uci.edu/ml/datasets/BitcoinHeistRansomwareAddressDataset
Most of these files are exploratory scripts that helped to develop the final script.
The main three files that can be considered the final project are:
- Detecting_Bitcoin_Ransomware.pdf (Final report)
https://git.disroot.org/shelldweller/ransomware/raw/branch/master/Detecting_Bitcoin_Ransomware.pdf
- Detecting_Bitcoin_Ransomware.Rmd (R markdown that generates the report)
https://git.disroot.org/shelldweller/ransomware/raw/branch/master/Detecting_Bitcoin_Ransomware.Rmd
- Detecting_Bitcoin_Ransomware.R (R script that contains the essential code for the modeling process)
https://git.disroot.org/shelldweller/ransomware/raw/branch/master/Detecting_Bitcoin_Ransomware.R
Everything else can be safely ignored, and is just here so that I can trace my own steps if needed.
Detecting Bitcoin Ransomware by KR Tejeda is licensed under a Creative Commons Attribution 4.0 International License.
Based on a work at https://arxiv.org/abs/1906.07852.