Results 181 to 190 of about 139,322 (228)

Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention

2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)
This study proposes a credit card fraud detection method based on Heterogeneous Graph Neural Network (HGNN) to address fraud in complex transaction networks.
Qiuwu Sha, Tengda Tang, Xinyu Du, Jie Liu, Yixian Wang, Yuan Sheng   +5 more
semanticscholar   +1 more source

A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection

2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT)
This research introduces an innovative method for identifying credit card fraud by combining the SMOTE-KMEANS technique with an ensemble machine learning model.
Yuhan Wang
semanticscholar   +1 more source

Credit Card Fraud Detection Using State Of The Art Machine Learning And Deep Learning Algorithms

International Journal of Research Publication and Reviews
Credit card fraud has emerged as a significant threat to financial security, prompting the urgent need for sophisticated detection mechanisms. Traditional rule-based systems are increasingly inadequate in identifying fraudulent patterns, especially with ...
Mca S E Suresh, Yennam Anusha
semanticscholar   +1 more source

Advanced Machine Learning Approaches for Credit Card Fraud Detection in the USA: A Comprehensive Analysis

Journal of Ecohumanism
Credit card fraud is a financial threat in America, both for financial institutions and for consumers, and it is growing in severity. Traditional fraud detection methods become less effective in countering emerging fraud trends, and for that reason ...
Mir Mohtasam Hossain Sizan, Anchala Chouksey, Nikhil Rao Tannier, Md Abdullah Al Jobaer, Jasmin Akter, Ashutosh Roy, Mehedi Hasan Ridoy, M. S. Sartaz, Dewan Aminul Islam   +8 more
semanticscholar   +1 more source

Credit card fraud detection system

i-manager's Journal on Digital Forensics & Cyber Security, 2023
Credit card fraud is a significant problem for financial institutions and cardholders and can result in significant financial losses and damage to reputation. Detecting and preventing fraud in credit card transactions is critical to minimizing losses and maintaining customer trust.
Makombe Ernest, Chatola Fanny, J. Pradeep, G. Glorindal   +3 more
openaire   +1 more source

Optimized Credit Card Fraud Detection Leveraging Ensemble Machine Learning Methods

Engineering, Technology & Applied Science Research
The increasing number of online financial transactions, particularly those involving credit cards, underscores the urgent need for robust security systems to mitigate financial losses due to fraud.
Al-Anood Al-Maari, M. Abdulnabi, Yogeswaran Nathan, Aitizaz Ali, Uzair Ali, Maqbool Khan   +5 more
semanticscholar   +1 more source

Enhanced Credit Card Fraud Detection Using Deep Hybrid CLST Model

Mathematics
The existing financial payment system has inherent credit card fraud problems that must be solved with strong and effective solutions. In this research, a combined deep learning model that incorporates a convolutional neural network (CNN), long-short ...
Madiha Jabeen, Shabana Ramzan, Ali Raza, Norma Latif Fitriyani, Muhammad Syafrudin, S. Lee   +5 more
semanticscholar   +1 more source

Enhancing Customer Contact Efficiency with Graph Neural Networks in Credit Card Fraud Detection Workflow

2025 IEEE 7th International Conference on Communications, Information System and Computer Engineering (CISCE)
Credit card fraud has been a persistent issue since the last century, causing significant financial losses to the industry. The most effective way to prevent fraud is by contacting customers to verify suspicious transactions. However, while these systems
Menghao Huo, Kuan Lu, Qiang Zhu, Zhenrui Chen   +3 more
semanticscholar   +1 more source

A Comparative Study of Machine Learning Models for Credit Card Fraud Detection

Academic Journal of Natural Science
Currently, credit card fraud detection is a unique problem in the financial sector, with both institutions and consumers facing increasingly significant losses.
Yinlei Chen
semanticscholar   +1 more source

A Survey on the Identification of Credit Card Fraud Using Machine Learning with Precision, Performance, and Challenges

International Journal of Innovative Science and Research Technology
Credit card usage is essential in the current economic climate. It has become a necessary component of domestic, commercial, and international operations.
S. Wawge
semanticscholar   +1 more source