Blockchain Forensics - Unmasking Anonymity in Dark Web Transactions

This paper analyzes the impact of blockchain forensic techniques on combating cybercrime in the dark web. Although cryptocurrencies were originally celebrated for their decentralized and anonymous characteristics, advancements in blockchain analytics have allowed law enforcement agencies to track unlawful transactions with greater precision. This paper investigates forensic techniques including clustering, heuristic analysis, and address tagging to identify offenders involved in money laundering, drug trafficking, and ransomware transactions. This paper examines real-world case studies, including as the dismantling of Silk Road and Chainalysis's involvement in tracing illicit wallets, to illustrate the dynamic adversarial relationship between cybercriminals and law enforcement agencies. It also addresses the legal and ethical dilemmas associated with blockchain surveillance. The findings indicate that although blockchain forensics has markedly advanced cybercrime investigations, the emergence of privacy-enhancing technologies presents new challenges necessitating policy adjustments.