GCF-MLD: Integrated Approach for Money Laundering Detection Using Machine Learning and Graph Network Analysis

GCF-MLD: Integrated Approach for Money Laundering Detection Using Machine Learning and Graph Network Analysis

Money laundering is a critical issue for financial institutions especially in developing countries and detecting such suspicious activities is a challenging task. The rule-based money laundering detection systems currently being used by the financial institutions rely on pre-defined rules that are o...

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Bibliographic Details
Main Authors: Faizan Irshad, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Banking
governmental factors
machine learning
financial services
money laundering
clustering methods
Online Access:https://ieeexplore.ieee.org/document/10777848/
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