Robust AI for Financial Fraud Detection in the GCC: A Hybrid Framework for Imbalance, Drift, and Adversarial Threats

The rising complexity of financial fraud in highly digitalized regions such as the Gulf Cooperation Council (GCC) poses challenging issues owing to class imbalance, adversarial attacks, concept drift, and explainability requirements. This paper suggests a hybrid machine-learning framework (HMLF) tha...

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Principais autores:	Khaleel Ibrahim Al-Daoud, Ibrahim A. Abu-AlSondos
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-06-01
coleção:	Journal of Theoretical and Applied Electronic Commerce Research
Assuntos:	financial fraud detection machine learning Gulf Cooperation Council (GCC) class imbalance adversarial robustness concept drift
Acesso em linha:	https://www.mdpi.com/0718-1876/20/2/121
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