Bitcoin Blockchain Clustering Analysis for Ransomware Detection

Abstract

Bitcoin is the most popular digital currency. It is not controlled by any sort of central bank or government institution and is the preferred payment method requested by cyber criminals through ransomware. This type of malware encrypts a victim’s files and forces them to pay a ransom in order to regain access. In this short paper, Bitcoin transaction data of tenyears is analyzed by generating a K-Means clustering model, using it to predict each sample’s cluster, and then creating a confusion matrix and evaluating the results (Rand Score).