- Advances in Artificial Intelligence Research
- Cilt: 5 Sayı: 2
- Combating Money Laundering using Artificial Intelligence
Combating Money Laundering using Artificial Intelligence
Authors : Ufuoma Ogude, Blessing Oloko, Ayomitope Isijola, Michael Asefon, Chizoma Chikere, Azizat Adekoya, Samuel Okorie
Pages : 66-80
Doi:10.54569/aair.1829876
View : 69 | Download : 81
Publication Date : 2025-12-23
Article Type : Research Paper
Abstract :This research provides a comprehensive outline of money laundering, its cycle, and the challenges of detecting it, in Nigeria and globally. It argues that traditional, rule-based models for identifying financial crimes are inefficient as a result of their high false-positive rates and static nature. The research proposes a solution leveraging modern machine learning and deep learning, specifically an unsupervised approach using a clustering model. This methodology aims to identify suspicious transactions during the “placement” stage of money laundering by detecting anomalies and evolving patterns. Developing and assessing a generative deep learning model for fraud detection, assessing the likelihood of financial crimes, and contrasting the suggested methodology with conventional methods are the goals of this research. The paper’s objectives are to create and evaluate a generative deep learning model for fraud detection, analyse the risks of financial crimes, and compare the proposed method against traditional approachesKeywords : Kümeleme, Derin Öğrenme, Makine Öğrenimi, Kara Para Aklama, Terörizmin Finansmanı, Yapay Zeka
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