Digital twin for credit card fraud detection: Opportunities, challenges, and fraud detection advancements
Credit cards are widely used for payments due to their convenience and broad acceptance.
Their popularity comes with the critical challenge of safeguarding personal and payment …
Their popularity comes with the critical challenge of safeguarding personal and payment …
Financial fraud detection: a comparative study of quantum machine learning models
In this research, a comparative study of four Quantum Machine Learning (QML) models was
conducted for fraud detection in finance. We proved that the Quantum Support Vector …
conducted for fraud detection in finance. We proved that the Quantum Support Vector …
A novel framework for credit card fraud detection
Credit card transactions have grown considerably in the last few years. However, this
increase has led to significant financial losses around the world. More than that, processing …
increase has led to significant financial losses around the world. More than that, processing …
Securing financial transactions: Exploring the role of federated learning and blockchain in credit card fraud detection
Credit card fraud detection is a significant challenge for the financial industry, and the
privacy of sensitive financial data is of utmost importance. Federated learning is a …
privacy of sensitive financial data is of utmost importance. Federated learning is a …
[PDF][PDF] Credit card fraud detection by improved SVDD
The COVID-19 pandemic has brought dramatic changes in human beings' habits. One of
these major changes is the increase use of credit card. Online shop** has become …
these major changes is the increase use of credit card. Online shop** has become …
A Credit Card Fraud Detection Algorithm Based on SDT and Federated Learning
Y Tang, Z Liu - IEEE Access, 2024 - ieeexplore.ieee.org
With the rise of digital payment methods and the growth in financial transactions, the issue of
credit card fraud has become increasingly severe. Traditional fraud detection methods are …
credit card fraud has become increasingly severe. Traditional fraud detection methods are …
[HTML][HTML] FedGAT-DCNN: Advanced Credit Card Fraud Detection Using Federated Learning, Graph Attention Networks, and Dilated Convolutions
M Li, J Walsh - Electronics, 2024 - mdpi.com
Credit card fraud detection is a critical issue for financial institutions due to significant
financial losses and the erosion of customer trust. Fraud not only impacts the bottom line but …
financial losses and the erosion of customer trust. Fraud not only impacts the bottom line but …
Machine Learning Methods for Credit Card Fraud Detection: A Survey
The widespread adoption of online payments has been accompanied by a significant
increase in fraudulent activities, resulting in billions of dollars in financial losses. As payment …
increase in fraudulent activities, resulting in billions of dollars in financial losses. As payment …
A new fusion neural network model and credit card fraud identification
Credit 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 …
and financial institutions. In order to establish an efficient credit card fraud identification …
Parallel Graph Learning with Temporal Stamp Encoding for Fraudulent Transactions Detections
Financial transaction systems have become the critical backbone of modern society, and the
sharp increase in fraudulent transactions has become an unavoidable significant topic. Their …
sharp increase in fraudulent transactions has become an unavoidable significant topic. Their …