Prediction of Bitcoin-Heist Ransomware Attack Using Machine Learning

Abstract

Cryptocurrency is frequently used in a variety of virtual transactions to secure transactions. The few years have seen an increase in online scams, and with the advent of cryptocurrencies and their masquerading, it has never been easier for scammers. A cryptocurrency is a type of digital currency that can be exchanged for virtual goods and services over the Internet. Despite cryptocurrencies containing complex codes being kept secret which are meant to protect or preserve their security, capable hackers can nevertheless breach them. Ransomware attacks have emerged as a significant method of malware intrusion in recent years, usually, ransomware attacks take place through a website like linking the link the file gets corrupted. But here is the major scam during Bitcoin transactions. Therefore, we require improved ransomware prediction methods utilizing a suitable machine learning algorithm and a publicly accessible dataset. Using a variety of features to predict malicious transactions, abnormal Bitcoin transactions are used to evaluate these strategies.