Credit Card Fraud Detection [PDF]
International Journal Of Recent Trends In Multidisciplinary ResearchWith the exponential rise in online financial transactions, credit card fraud has become a pressing challenge for both consumers and financial institutions. Conventional rule-based detection systems are increasingly ineffective in identifying sophisticated and evolving fraud patterns, often resulting in high false positive rates and delayed responses ...
Irina P. Popova, Hamza A. A. Gardi
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Credit Card Fraud Detection Using AdaBoost and Majority Voting [PDF]
IEEE Access, 2018 Credit card fraud is a serious problem in financial services. Billions of dollars are lost due to credit card fraud every year. There is a lack of research studies on analyzing real-world credit card data owing to confidentiality issues.
Kuldeep Randhawa +4 more
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Gated attention based generative adversarial networks for imbalanced credit card fraud detection [PDF]
PeerJ Computer ScienceCredit card fraud detection is highly important to maintain financial security. However, it is challenging to train suitable models due to the class imbalance in credit card transaction data.
Jiangmeng Ge +3 more
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An Adversary Model of Fraudsters’ Behavior to Improve Oversampling in Credit Card Fraud Detection [PDF]
IEEE Access, 2023 Imbalanced learning jeopardizes the accuracy of traditional classification models, particularly for what concerns the minority class, which is often the class of interest.
Daniele Lunghi +3 more
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Credit card fraud detection using a hierarchical behavior-knowledge space model. [PDF]
PLoS ONE, 2022 With the advancement in machine learning, researchers continue to devise and implement effective intelligent methods for fraud detection in the financial sector.
Asoke K Nandi +4 more
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CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network [PDF]
PeerJ Computer Science, 2023 Credit card fraud can lead to significant financial losses for both individuals and financial institutions. In this article, we propose a novel method called CTCN, which uses Conditional Tabular Generative Adversarial Networks (CTGAN) and temporal ...
Xiaoyan Zhao, Shaopeng Guan
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A new fusion neural network model and credit card fraud identification. [PDF]
PLoS ONECredit card fraud identification is an important issue in risk prevention and control for banks and financial institutions. In order to establish an efficient credit card fraud identification model, this article studied the relevant factors that affect ...
Shan Jiang +4 more
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A novel approach for credit card fraud transaction detection using deep reinforcement learning scheme [PDF]
PeerJ Computer ScienceOnline transactions are still the backbone of the financial industry worldwide today. Millions of consumers use credit cards for their daily transactions, which has led to an exponential rise in credit card fraud.
Abdul Qayoom +7 more
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International Journal of Advanced Research in Science, Communication and Technology, 2022 Now a days online transactions have become an important and necessary part of our lives. Credit card fraud detection is presently the most frequently occurring problem in the present world. This is due to the rise in both online transactions and ecommerce platforms.
null Prof. Radha Shirbhate +4 more
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HMOA-GNN: adaptive adversarial GraphSAGE with hierarchical hybrid sampling and metric-optimized graph construction for credit card fraud detection [PDF]
Scientific ReportsAccurate credit card fraud detection is vital for protecting financial systems and reducing economic losses. Graph neural networks (GNNs) have shown strong potential by capturing complex patterns in transaction networks.
Lina Ni +5 more
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