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Artificial Intelligence-Based Fraud Detection in Financial Networks: A Comprehensive Review of AI Techniques

Oct 2026 · International Journal of Advanced Research in Science Communication and Technology · 9 references
Imbalanced Data Classification Techniques

Abstract

[1] N. J. Sarna, F. A. Rithen, U. S. Jui, S. Belal, Al Amin, T. K. Oishee, and A. K. M. Muzahidul Islam, “AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review,” IEEE Access, vol. 13, pp. 141204–141233, 2025, doi: 10.1109/ACCESS.2025.3596060. [2] A. A. Almazroi and N. Ayub, “Online Payment Fraud Detection Model Using Machine Learning Techniques,” IEEE Access, vol. 11, pp. 137188–137203, 2023, doi: 10.1109/ACCESS.2023.3339226. [3] T. Awosika, R. M. Shukla, and B. Pranggono, “Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection,” IEEE Access, vol. 12, pp. 64551–64560, 2024, doi: 10.1109/ACCESS.2024.3394528. [4] W. Hilal, S. A. Gadsden, and J. Yawney, “Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances,” Expert Systems with Applications, vol. 193, 116429, 2022, doi: 10.1016/j.eswa.2021.116429. [5] E. W. T. Ngai, Y. Hu, Y. H. Wong, Y. Chen, and X. Sun, “The Application of Data Mining Techniques in Financial Fraud Detection: A Classification Framework and an Academic Review of Literature,” Decision Support Systems, vol. 50, no. 3, pp. 559–569, 2011. [6] D. Jurgovsky et al., “Sequence Classification for Credit-Card Fraud Detection,” Expert Systems with Applications, vol. 100, pp. 234–245, 2018. [7] S. West and J. Bhattacharya, “Intelligent Financial Fraud Detection: A Comprehensive Review,” Computers & Security, vol. 57, pp. 47–66, 2016. [8] IEEE, “IEEE Editorial Style Manual,” IEEE Publication Services and Products Board, IEEE. [9]A. Al-Hashedi and Y. Magalingam, “Financial Fraud Detection Applying Data Mining Techniques: A Comprehensive Review from 2009 to 2019,” Journal of Applied Science and Engineering, vol. 24, no. 6, pp. 787–804, 2021. [10] A. A. A. El-Sayed, M. M. H. Shalaby, and M. A. El-Bialy, “Credit Card Fraud Detection Using Machine Learning Techniques: A Review,” International Journal of Advanced Computer Science and Applications, vol. 13, no. 6, 2022.

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