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Money laundering is the process where criminals use financial services to move massive amounts of illegal money to untraceable destinations and integrate them into legitimate financial systems. It is very crucial to identify such activities…

Artificial Intelligence · Computer Science 2023-02-27 Md. Rezaul Karim , Felix Hermsen , Sisay Adugna Chala , Paola de Perthuis , Avikarsha Mandal

Money launderers take advantage of limitations in existing detection approaches by hiding their financial footprints in a deceitful manner. They manage this by replicating transaction patterns that the monitoring systems cannot easily…

Machine Learning · Computer Science 2026-04-15 Haseeb Tariq , Alen Kaja , Marwan Hassani

Money laundering is a major global problem, enabling criminal organisations to hide their ill-gotten gains and to finance further operations. Prevention of money laundering is seen as a high priority by many governments, however detection…

Social and Information Networks · Computer Science 2016-08-03 David Savage , Qingmai Wang , Pauline Chou , Xiuzhen Zhang , Xinghuo Yu

Money laundering is not only about moving illicit funds, but about hiding the money's origin and traces to complicate detection. Financial criminals resort to many methods to avoid regulators and legal thresholds. But analysts investigating…

Human-Computer Interaction · Computer Science 2026-05-12 Salomé Esteves , Rita Costa , Louise Fallon , Pedro Bizarro

Money laundering is a financial crime that obscures the origin of illicit funds, necessitating the development and enforcement of anti-money laundering (AML) policies by governments and organizations. The proliferation of mobile payment…

Machine Learning · Computer Science 2025-03-14 Jiani Fan , Lwin Khin Shar , Ruichen Zhang , Ziyao Liu , Wenzhuo Yang , Dusit Niyato , Bomin Mao , Kwok-Yan Lam

Money laundering is a global problem that concerns legitimizing proceeds from serious felonies (1.7-4 trillion euros annually) such as drug dealing, human trafficking, or corruption. The anti-money laundering systems deployed by financial…

Machine Learning · Computer Science 2022-06-20 Ahmad Naser Eddin , Jacopo Bono , David Aparício , David Polido , João Tiago Ascensão , Pedro Bizarro , Pedro Ribeiro

Money launderers exploit the weaknesses in detection systems by purposefully placing their ill-gotten money into multiple accounts, at different banks. That money is then layered and moved around among mule accounts to obscure the origin…

Machine Learning · Computer Science 2025-01-03 Haseeb Tariq , Marwan Hassani

Financial institutions are required by regulation to report suspicious financial transactions related to money laundering. Therefore, they need to constantly monitor vast amounts of incoming and outgoing transactions. A particular challenge…

Machine Learning · Computer Science 2025-08-25 Bruno Deprez , Wei Wei , Wouter Verbeke , Bart Baesens , Kevin Mets , Tim Verdonck

The global banking system has faced increasing challenges in combating money laundering, necessitating advanced methods for detecting suspicious transactions. Anti-money laundering (or AML) approaches have often relied on predefined…

Social and Information Networks · Computer Science 2024-09-04 Anthony Bonato , Juan Sebastian Chavez Palan , Adam Szava

Money laundering presents a persistent challenge for financial institutions worldwide, while criminal organizations constantly evolve their tactics to bypass detection systems. Traditional anti-money laundering approaches mainly rely on…

Machine Learning · Computer Science 2026-04-06 Haseeb Tariq , Marwan Hassani

Current anti-money laundering (AML) systems, predominantly rule-based, exhibit notable shortcomings in efficiently and precisely detecting instances of money laundering. As a result, there has been a recent surge toward exploring…

Machine Learning · Computer Science 2023-07-26 Fredrik Johannessen , Martin Jullum

In this paper, we present "Graph Feature Preprocessor", a software library for detecting typical money laundering patterns in financial transaction graphs in real time. These patterns are used to produce a rich set of transaction features…

Money laundering is the process that intends to legalize the income derived from illicit activities, thus facilitating their entry into the monetary flow of the economy without jeopardizing their source. It is crucial to identify such…

Social and Information Networks · Computer Science 2025-07-10 Zhihua Tian , Yuan Ding , Wenjie Qu , Xiang Yu , Enchao Gong , Jian Liu , Kui Ren

Financial crime is a large and growing problem, in some way touching almost every financial institution. Financial institutions are the front line in the war against financial crime and accordingly, must devote substantial human and…

Bitcoin is by far the most popular crypto-currency solution enabling peer-to-peer payments. Despite some studies highlighting the network does not provide full anonymity, it is still being heavily used for a wide variety of dubious…

Social and Information Networks · Computer Science 2019-12-30 Yining Hu , Suranga Seneviratne , Kanchana Thilakarathna , Kensuke Fukuda , Aruna Seneviratne

Money laundering is a global phenomenon with wide-reaching social and economic consequences. Cryptocurrencies are particularly susceptible due to the lack of control by authorities and their anonymity. Thus, it is important to develop new…

Machine Learning · Computer Science 2021-07-22 Catarina Oliveira , João Torres , Maria Inês Silva , David Aparício , João Tiago Ascensão , Pedro Bizarro

Money laundering is a financial crime that poses a serious threat to financial integrity and social security. The growing number of transactions makes it necessary to use automatic tools that help law enforcement agencies detect such…

Cryptography and Security · Computer Science 2025-06-10 Marco Di Gennaro , Francesco Panebianco , Marco Pianta , Stefano Zanero , Michele Carminati

Money laundering presents a pervasive challenge, burdening society by financing illegal activities. The use of network information is increasingly being explored to effectively combat money laundering, given it involves connected parties.…

Social and Information Networks · Computer Science 2025-10-09 Bruno Deprez , Toon Vanderschueren , Bart Baesens , Tim Verdonck , Wouter Verbeke

Financial forensics has an important role in the field of finance to detect and investigate the occurrence of finance related crimes like money laundering. However, as with other forms of criminal activities, the forensics analysis of such…

Cryptography and Security · Computer Science 2023-03-10 Jonathan Pan

Anti-money laundering (AML) regulations mandate financial institutions to deploy AML systems based on a set of rules that, when triggered, form the basis of a suspicious alert to be assessed by human analysts. Reviewing these cases is a…

Machine Learning · Computer Science 2022-10-28 Mário Cardoso , Pedro Saleiro , Pedro Bizarro
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