* Otilia Maria MUNTEAN and Ciprian PUNGILĂ
West University of Timisoara, Faculty of Mathematics and Informatics, B-dul Vasile Pârvan 4, Timișoara, 300223, Romania
* E-mail: otilia.muntean97@e-uvt.ro, ciprian.pungila@e-uvt.ro
Received: 30 June 2024 Revised: 9 January 2025 Accepted: 10 February 2025
Published: 24 March 2025
_____________________________________________________________________________
Abstract: Money laundering represents a substantial threat to the integrity of global financial systems. With the advent and rapid advancement of blockchain technology, new opportunities for illicit activities have emerged. The rapid pace of blockchain development has often outstripped the evolution of corresponding regulatory frameworks, creating an environment conductive to financial crimes. Existing anti-money laundering (AML) methods frequently struggle to address the intricate and dynamic characteristics of blockchain transactions, underscoring the need for ongoing reassessment of both technological and legislative strategies. This research presents a comprehensive taxonomy based on an analysis of 150 academic papers published between 2019 and the moment of writing, alongside a comparative evaluation of three existing tools designed to process blockchain data with the purpose of detecting money laundering activities.
Keywords: Blockchain, Bitcoin, Data extraction, Database, Money laundering.
_____________________________________________________________________________
