Abstract
The chapter aims to illuminate the digital forensics of cryptocurrencies and the dark web by reviewing the role of the elements and tools involved in their formation, such as blockchain, computers, and mobile phones, and learning evidence. It will focus on its methods and review the extent to which artificial intelligence and machine language can be relied upon in forensics on the dark web. The chapter identified the need to address several areas of digital cryptocurrency forensics, in which gaps can be filled by developing advanced solutions for cryptocurrency forensics. Further investigation is required in digital forensics concerning significant cryptocurrencies like Monero, Ethereum, Verge, Dogecoin, and others. This is necessary because these currencies are becoming increasingly popular among both legitimate users and evil individuals. The survey highlighted another research gap: the limited amount of substantial research on host-based cryptocurrency forensics, particularly in mobile-based cryptocurrency forensics.