Exploring the Advances of Artificial Intelligence in Cryptocurrencies and Darknet Forensics

This article explores the digital forensics of cryptocurrencies and the dark web, highlighting the role of blockchain, computers, and mobile phones in their formation and evidence gathering. It also discusses the use of artificial intelligence and machine language in dark web forensics. The article highlights the need for immediate research in digital cryptocurrency forensics, particularly in cryptocurrencies like Monero, Ethereum, Verge, and Dogecoin, and the gap in host-based cryptocurrency forensics. Cryptocurrency forensics mostly looks at public blockchains using clustering heuristics and machine learning-based analysis to find anonymous entities or help with investigations. The Elliptic Dataset, a significant resource, has been developed to study machine learning and graph-based methods in Bitcoin forensics based on blockchain technology, providing a wealth of information for researchers in the field. Blockchain-based forensics research is progressing organically alongside technological advancements, offering a promising future.