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 ...
Popova, Iva, Gardi, Hamza A. A.
+17 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
doaj +3 more sources
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
Credit Card Fraud Detection Using AdaBoost and Majority Voting
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
doaj +3 more sources
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
doaj +2 more sources
IEEE Access, 2020 New advances in electronic commerce systems and communication technologies have made the credit card the potentially most popular method of payment for both regular and online purchases; thus, there is significantly increased fraud associated with such ...
Altyeb Altaher Taha +1 more
doaj +3 more sources
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 Using State-of-the-Art Machine Learning and Deep Learning Algorithms
IEEE Access, 2022 People can use credit cards for online transactions as it provides an efficient and easy-to-use facility. With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced.
Fawaz Khaled Alarfaj +5 more
doaj +3 more sources
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
doaj +3 more sources