The high volume of money involved in e-commerce transactions draws the attention of
fraudsters, which makes fraud prevention and detection techniques of high importance …

The rapid increase of fraud attacks on banking systems, financial institutions, and even
credit card holders demonstrate the high demand for enhanced fraud detection (FD) systems …

Fraud detection in banking systems is crucial for financial stability, customer protection,
reputation management, and regulatory compliance. Machine Learning (ML) is vital in …

This study addresses the critical challenge of data imbalance in credit card fraud detection
(CCFD), a significant impediment to accurate and reliable fraud prediction models. Fraud …

The e-commerce industry's rapid growth, accelerated by the COVID-19 pandemic, has led to
an alarming increase in digital fraud and associated losses. To establish a healthy e …

Fraud is one of the most extensive ethical issues in the Financial (Banking) industry. The
research aims to create a robust model for predicting fraudulent transactions based on the …