ADVANCED FRAUD DETECTION IN CARD-BASED FINANCIAL SYSTEMS USING A BIDIRECTIONAL LSTM-GRU ENSEMBLE MODEL
Toufik GHRIB
ghrib.toufik@univ-ouargla.dzÉcole Normale Supérieure de Ouargla, Mathemathics department (Algeria)
https://orcid.org/0000-0001-7174-8962
Yacine KHALDI
École Normale Supérieure de Ouargla, Mathemathics department (Algeria)
https://orcid.org/0000-0002-8004-7698
Purnendu Shekhar PANDEY
Bipin Tripathi Kumaon Institute of Technology (India)
https://orcid.org/0000-0003-1276-5388
Yusef Awad ABUSAL
Ufa State Petroleum Technological University (Palestine, State of)
https://orcid.org/0009-0000-3550-6384
Abstract
This article addresses the challenges of fraud in card-based financial systems and proposes effective detection and prevention strategies. By leveraging recent data analytics and real-time monitoring, the study aims to enhance transaction security and integrity. The authors review existing fraud detection methodologies, emerging trends, and the evolving tactics of fraudsters, emphasizing the importance of collaboration among financial institutions, regulatory agencies, and technology providers. Our proposed solution is an ensemble model combining Bidirectional Gated Recurrent Unit (BiGRU) and Bidirectional Long Short-Term Memory (BiLSTM) networks, designed to capture complex transactional patterns more effectively. Comparative analysis of six machine learning classifiers—AdaBoost, Naïve Bayes, Decision Tree, Logistic Regression, Random Forest, and Voting—demonstrates that our BiLSTM-BiGRU ensemble model outperforms traditional methods, achieving a fraud detection performance score of 89.22%. This highlights the advanced deep learning model's superior ability to enhance the robustness and reliability of fraud detection systems.
Keywords:
fraud detection, card-based financial systems, BiGru, BiLST, ensemble models, Machine LearningReferences
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Authors
Toufik GHRIBghrib.toufik@univ-ouargla.dz
École Normale Supérieure de Ouargla, Mathemathics department Algeria
https://orcid.org/0000-0001-7174-8962
Authors
Yacine KHALDIÉcole Normale Supérieure de Ouargla, Mathemathics department Algeria
https://orcid.org/0000-0002-8004-7698
Authors
Purnendu Shekhar PANDEYBipin Tripathi Kumaon Institute of Technology India
https://orcid.org/0000-0003-1276-5388
Authors
Yusef Awad ABUSALUfa State Petroleum Technological University Palestine, State of
https://orcid.org/0009-0000-3550-6384
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