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

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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Bibliographic Details
Main Authors: Khaleel Ibrahim Al-Daoud, Ibrahim A. Abu-AlSondos
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Journal of Theoretical and Applied Electronic Commerce Research
Subjects:
financial fraud detection
machine learning
Gulf Cooperation Council (GCC)
class imbalance
adversarial robustness
concept drift
Online Access:https://www.mdpi.com/0718-1876/20/2/121
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