A Systematic Review of Intelligent Systems and Analytic Applications in Credit Card Fraud Detection
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| Publicado en: | Applied Sciences vol. 15, no. 3 (2025), p. 1356-1378 |
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MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 2076-3417 | ||
| 024 | 7 | |a 10.3390/app15031356 |2 doi | |
| 035 | |a 3165778676 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231338 |2 nlm | ||
| 100 | 1 | |a Oztemel Ercan |u Department of Industrial Engineering, Faculty of Engineering, Marmara University, Istanbul 34854, Turkey; eoztemel@marmara.edu.tr | |
| 245 | 1 | |a A Systematic Review of Intelligent Systems and Analytic Applications in Credit Card Fraud Detection | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Review | ||
| 520 | 3 | |a The use of credit cards plays a crucial role in cash management and in meeting the needs for individual and commercial customers due to the spread of risks to the future by making monthly instalments instead of cash transactions. The use of credit cards therefore provides benefits not only to the customers but also to the banks as it enables and sustains a long-term relationship in between them. Despite the increase in the use of credit cards, there is also a significant increase in fraud transactions. To detect and prevent possible fraud operations, banks generally use rule-based techniques or analytical models. In this respect, analytical models have an important place due to their effectiveness, performance, and fast response. The main aim of this paper is therefore to enhance the theoretical and practical understanding of credit card fraud operations, review basic approaches, and propose a more comprehensive approach utilizing the agents. Note that in this study, static analytic modelling (existing approaches) and dynamic analytic modelling (emerging approaches) techniques are compared in terms of methodology, performance, and respective approaches. Since fraud methods and transactions are constantly changing over time, it is thought that there will be an increase in the use of agent-based models with dynamic analytical capabilities. Additionally, in this paper, a proposed model and empiric study are presented for an agent-based intelligent credit card fraud detection system. | |
| 653 | |a Behavior | ||
| 653 | |a Usability | ||
| 653 | |a Datasets | ||
| 653 | |a Algorithms | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Credit card processing | ||
| 653 | |a Fraud prevention | ||
| 653 | |a Credit card fraud | ||
| 653 | |a Intelligent systems | ||
| 700 | 1 | |a Isik Muhammed |u Department of Industrial Engineering, Institute of Pure and Applied Sciences, Marmara University, Istanbul 34722, Turkey | |
| 773 | 0 | |t Applied Sciences |g vol. 15, no. 3 (2025), p. 1356-1378 | |
| 786 | 0 | |d ProQuest |t Publicly Available Content Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3165778676/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3165778676/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3165778676/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |