Novel Machine Learning Based Credit Card Fraud Detection Systems
MathematicsThis research deals with the critical issue of credit card fraud, a problem that has escalated in the last decade due to the significant increase in credit card usage, largely driven by advances in international trade, e-commerce, and FinTech.
Xiaomei Feng, Song-Kyoo Kim
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A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection
TechnologiesCredit card fraud detection is a critical challenge in the financial industry, with substantial economic implications. Conventional machine learning (ML) techniques often fail to adapt to evolving fraud patterns and underperform with imbalanced datasets.
Ibomoiye Domor Mienye, Theo G. Swart
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What is the key determinant of the credit card fraud risk assessment in Indonesia? An idea for brainstorming [PDF]
Banks and Bank Systems, 2023 This study examined the direct effect of brainstorming on fraud risk assessment at credit card issuing banks in Indonesia. Therefore, it was expected to help improve their performance in dealing with various credit card frauds.
Yuli Dewi +3 more
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Factors influencing the effectiveness of credit card fraud prevention in Indonesian issuing banks [PDF]
Banks and Bank Systems, 2023 The increase in online credit card transactions in the digital era has caused an increase in credit card cyber incidents. This is happening globally, including in Indonesia.
Yuli Dewi +3 more
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Credit Card Fraud Detection using Decision Tree and Random Forest [PDF]
ITM Web of Conferences, 2023 It is the time of technology advancement. Due to internet everything is available at the touch of a finger. There is a benefit of online shopping: first it saves lots of time and second it does not demand to go to market to buy anything.
Shah Dhwanir, Kumar Sharma Lokesh
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Credit Card Fraud Detection Methods: A Review [PDF]
E3S Web of Conferences, 2023 In today’s context, the term “fraud” has become closely intertwined with credit card-related deceit. Recent years have witnessed a notable surge in both credit card utilization and fraudulent activities.
Pundkar Sumedh N., Zubei Mohd
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International Journal of Scientific Research in Science and Technology, 2023 Nowadays, detecting credit card fraud is a major social issue. Credit card usage on e-commerce and banking websites has quickly expanded in recent years. The usage of credit cards in online transactions has made it simple, but it has also increased the frequency of fraud transactions. Modernization will have both beneficial and negative effects.
null Tejaswini Patil, null Kiran Khadare
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Credit Card Fraud Detection Based on Unsupervised Attentional Anomaly Detection Network
Systems, 2023 In recent years, with the rapid development of Internet technology, the number of credit card users has increased significantly. Subsequently, credit card fraud has caused a large amount of economic losses to individual users and related financial ...
Shanshan Jiang +3 more
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A systematic review of literature on credit card cyber fraud detection using machine and deep learning [PDF]
PeerJ Computer Science, 2023 The increasing spread of cyberattacks and crimes makes cyber security a top priority in the banking industry. Credit card cyber fraud is a major security risk worldwide.
Eyad Abdel Latif Marazqah Btoush +5 more
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Comparative analysis of binary and one-class classification techniques for credit card fraud data
Journal of Big Data, 2023 The yearly increase in incidents of credit card fraud can be attributed to the rapid growth of e-commerce. To address this issue, effective fraud detection methods are essential. Our research focuses on the Credit Card Fraud Detection Dataset, which is a
Joffrey L. Leevy +2 more
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