Results 31 to 40 of about 536,192 (230)
Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems [PDF]
2024 6th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)In the context of globalization and the rapid expansion of the digital economy, anti-money laundering (AML) has become a crucial aspect of financial oversight, particularly in cross-border transactions.
Qian Yu, Zhen Xu, Zong Ke
semanticscholar +1 more source
Trends in Organized Crime, 2023 In order to launder large amounts of money, (drug) criminals can seek help from financial facilitators. According to the FATF, these facilitators are operating increasingly business-like and even participate in professional money laundering networks ...
Jowita Kramer +3 more
semanticscholar +1 more source
University of Bologna Law Review, 2018 Money laundering is the clandestine movement of cash from one region to another without notifying it to the government authorities with the purpose of evading taxes, disguising ill-gotten incomes, and converting illegally earned money into legitimate ...
Waseem Ahmad Qureshi
doaj +1 more source
Graph Embedding-Based Money Laundering Detection for Ethereum
Electronics, 2023 The number of money laundering crimes for Ethereum and the amount involved have grown exponentially in recent years. However, previous studies related to anomaly detection for Ethereum usually consider multiple types of financial crimes as a whole ...
Jiayi Liu +6 more
semanticscholar +1 more source
The effect of the banking supervision on anti-money laundering
Humanities and Social Sciences Letters, 2023 This article's goal is to investigate the connection between banking supervision (BakSup) and anti-money laundering (AnMeyLg). The study's hypothesized model was examined using a survey questionnaire research methodology.
Z. Benzerrouk +4 more
semanticscholar +1 more source
The effect of anti-money laundering policies: an empirical network analysis
EPJ Data Science, 2022 Aim There is a growing literature analyzing money laundering and the policies to fight it, but the overall effectiveness of anti-money laundering policies is still unclear.
Peter Gerbrands +3 more
doaj +1 more source
CEO compensation and money laundering risk
Journal of Economic Criminology, 2023 This paper investigates the connection between money laundering risk and Chief Executive Officer (CEO) compensation in the Iranian stock market. For this goal, we construct a firm-level measure of money laundering risk using the opinion of certified ...
Meysam Bolgorian +2 more
doaj +1 more source
Corporate Law & Governance Review, 2023 The purpose of this paper is to examine the role of cryptocurrency in facilitating money laundering and identify different methods and services that send funds through numerous addresses or businesses to obscure their origins using cryptocurrency.
Llambi Prendi +2 more
semanticscholar +1 more source
Using Artificial Intelligence to Combat Money Laundering
Intelligent Information Management, 2023 Banks and other financial institutions handle sensitive records regarding people, trusts, and corporations. Money, as a sensitive and useful commodity, makes financial organizations valuable and prone to criminal elements. Common criminal activities that
Rashid Alhajeri, Abdulrahman Alhashem
semanticscholar +1 more source
The Determinant of Money Laundering: Evidence from Italian Regions [PDF]
, 2017 Following the INTERPOL’s definition, money laundering is: “any act or attempted act to conceal or disguise the identity of illegally obtained proceeds so that they appear to have originated from legitimate sources”.
Oliva, M., Reganati, F.
core +1 more source