Unveiling the Illegal Uses of Cryptocurrencies in Dark Web and Advanced AI and Machine Learning Techniques in Cryptocurrency Forensics

Abstract

The chapter delves into the digital forensics of cryptocurrencies, focusing on the role of blockchain, computers, and mobile phones in gathering evidence. It underscores the pressing need for immediate and extensive research in digital cryptocurrency forensics, especially for significant cryptocurrencies increasingly attracting legitimate and malicious users. The chapter also highlights a critical gap in research on host-based cryptocurrency forensics, particularly mobile-based forensics. Most studies on host-based forensics concentrate on outdated operating systems or platforms, highlighting the necessity for more current versions, and the urgency of updating your methods in host-based forensics is apparent. Cryptocurrency forensics primarily involves the analysis of publicly accessible blockchains using clustering heuristics and machine learning-based analysis to identify anonymous entities or provide investigation guidance. Security and vulnerability assessment studies are crucial in examining forensic methods for cryptocurrencies, offering insights into potential exploits.