Preparing a Dataset of Ransomware BTC Addresses for Machine Learning Purpose

Ransomware is a class of malicious software that encrypts the files of an infected machine and demands payments, mainly in cryptocurrencies such as Bitcoin. One of the challenges faced by law enforcement is identifying suspected Bitcoin addresses. The aim of this article is to create a dataset of historical ransom addresses as training data for future research. This dataset consists of two elements: the first is a compilation of suspicious addresses from various data sources, and the second comprises custom-calculated parameters for these addresses. This dataset serves as a starting point for future research on the automatic identification of ransom addresses.