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Author

Hamid Banirostam

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Review Open access Jul 2026

A Comprehensive Survey on AI-Driven Financial Fraud Detection: Trends, Techniques, and Future Directions

This review provides a structured framework for developing intelligent, secure, and trustworthy fraud detection systems in financial institutions and serves as a roadmap for researchers and practitioners aiming to address evolving fraud threats in cloud-based, distributed, and privacy-sensitive environments.

E. Shamsinejad, Hamid Banirostam · 0 citations
Review Open access Jul 2026

A Systematic Review of AI-Driven Banking Fraud Detection: Advances, Challenges, and Deployment-Ready Solutions (2024–2025)

This systematic review analyzes 20 influential peer-reviewed studies from 2024 to 2025 and outlines priority directions to move beyond a narrow focus on accuracy toward fraud detection solutions that are scalable, secure, transparent, and cost-effective, enabling more confident deployment of AI-based systems in real-world banking.

Hamid Banirostam, E. Shamsinejad · 0 citations

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