Money laundering has been a global issue for decades, which is one of the major threat for
economy and society. Government, regulatory and financial institutions are combating it …

Purpose: This study aims to employ bibliometric analysis to condense multiple studies into a
single publication that not only gives insights into the growth and advancement of the …

Online transactions, medical services, financial transactions, and banking all have their
share of fraudulent activity. The annual revenue generated by fraud exceeds $1 trillion. Even …

The rapid expansion of artificial intelligence (AI) technologies presents novel technical
solutions to traditional accounting and finance problems. Despite this, scholars in …

This paper proposes a new framework to provide insights into the techniques launderers
adopt to clean illicit funds, drawing on existing literature and theories including rational …

Anti-money laundering (AML) is a classical data mining problem in finance applications. As
well known, money laundering (ML) is critical to the effective operation of transnational and …

There are several issues associated with Dark Web Structural Patterns mining (including
many redundant and irrelevant information), which increases the numerous types of …

Over the last decade, the international community has become more aware of the danger
and harm caused by the practice of the crime of Money Laundering (ML). Organizations to …

With the overall momentum of the blockchain industry, financial crimes related to blockchain
crypto-assets are becoming increasingly prevalent. After committing a crime, the main goal …

Financial investigations in the realm of fraud detection demand rigorous data analysis to
identify anomalies and inform decision-making. This paper demonstrates the importance of …