International Journal of Research Publication and ReviewsWhile credit card fraud and abuse are the way becoming more common, the convenience using of there credit for the way online purchases has also improved. These fraudulent activities pose a severe financial danger to both credit the are card users and way they using it financial institutions.
Dr. B. Rebecca +2 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
doaj +2 more sources
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
doaj +3 more sources
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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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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Enhancing credit card fraud detection with a hybrid approach using machine and deep learning [PDF]
Scientific ReportsCredit card fraud is an important concern for banks, financial institutions and consumers, resulting in substantial financial losses annually. Traditional fraud detection systems are based on predefined rules, but as fraudsters develop more sophisticated
Nagwa Gamal +2 more
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International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: Due to exponential growth in the field of online transactions, credit cards are widely used in most financial aspects and hence there are more risks of fraudulent transactions. These fraudulent transactions can be shown by analysing several behaviours of credit card users from earlier transaction history datasets.
Mrs. M. M Swami +4 more
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A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection
IEEE Access, 2022 Recent advancements in electronic commerce and communication systems have significantly increased the use of credit cards for both online and regular transactions.
Ebenezer Esenogho +4 more
doaj +3 more sources
Credit Card Fraud Detection in Card-Not-Present Transactions: Where to Invest?
Applied Sciences, 2021 Online shopping, already on a steady rise, was propelled even further with the advent of the COVID-19 pandemic. Of course, credit cards are a dominant way of doing business online.
Igor Mekterović +3 more
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Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
Big Data and Cognitive ComputingIn the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble ...
Abdul Rehman Khalid +5 more
doaj +3 more sources