Bitcoin Money Laundering Detection via Subgraph Contrastive Learning. [PDF]
Entropy (Basel)The rapid development of cryptocurrencies has led to an increasing severity of money laundering activities. In recent years, leveraging graph neural networks for cryptocurrency fraud detection has yielded promising results. However, many existing methods
Ouyang S, Bai Q, Feng H, Hu B.
europepmc +2 more sources
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models [PDF]
Neural Information Processing Systems, 2023 With the widespread digitization of finance and the increasing popularity of cryptocurrencies, the sophistication of fraud schemes devised by cybercriminals is growing.
Erik Altman +3 more
openalex +3 more sources
Analysis of the methods and trends of money laundering by import – export transactions
Управление, 2021 The article discusses the urgent problem of money laundering. In an effort to circumvent the law and avoid justice, seeking to circumvent the law and avoid justice, criminals resort to a wide variety of ways and methods of money laundering.
Ju. M. Beketnova
doaj +3 more sources
PROPOSAL FOR A DIRECTIVE OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL OF 5 FEBRUARY 2013 ON THE PREVENTION OF THE USE OF THE FINANCIAL SYSTEM FOR THE PURPOSE OF MONEY LAUNDERING AND FINANCING TERRORIST ACTIVITY [PDF]
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej, 2014 The problem of combating money laundering was early recognized by the European Union. In 1991 the EU 1st Money Laundering Directive was published. Next, in 2001 and 2005 it was necessary to regulate this problem in details. The central goal of this paper
Marek Zieliński
doaj +10 more sources
PLoS ONE, 2021 The Monitoring and Analysis Centre for the fight against money laundering is a valid financial information body which is responsible for collecting, analysing and providing financial information and conducting international exchanges of financial ...
Ling Sun
doaj +2 more sources
Scalable Semi-Supervised Graph Learning Techniques for Anti Money Laundering
IEEE AccessMoney laundering is the process by which criminals move large sums of illicit money to hidden locations and integrate them as legal funds through existing financial services.
Md. Rezaul Karim +4 more
doaj +2 more sources
Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective [PDF]
Journal of Business Research, 2021 Ana Isabel Canhoto
exaly +2 more sources
Corporate Governance and Iranian Banking Economic Value Added [PDF]
Iranian Journal of Finance, 2021 Added over the period 2006-2018. We focused on different proxies of corporate governance indicators, such as the Directors' Effectiveness, the Transparency and the Disclosure, Responsibility.
Azam Ahmadyan, Mehdi Ghasemi Ali Abadi
doaj +1 more source
Formation of a new paradigm of anti-money laundering: The experience of Ukraine [PDF]
Problems and Perspectives in Management, 2021 The increase in the level of money laundering is associated with digitalization and technification of all spheres of society, the globalization of financial markets, the consequences of quarantine measures caused by the COVID-19 pandemic, and the new ...
Sergij S. Vitvitskiy +4 more
doaj +1 more source
Of Degens and Defrauders: Using Open-Source Investigative Tools to Investigate Decentralized Finance Frauds and Money Laundering [PDF]
Forensic Science International: Digital Investigation, 2023 Fraud across the decentralized finance (DeFi) ecosystem is growing, with victims losing billions to DeFi scams every year. However, there is a disconnect between the reported value of these scams and associated legal prosecutions.
Arianna Trozze +2 more
semanticscholar +1 more source