Credit card fraud is becoming a serious and growing problem as a result of the emergence
of innovative technologies and communication methods, such as contactless payment. In …

Deep learning (DL), a branch of machine learning (ML), is the core technology in today's
technological advancements and innovations. Deep learning-based approaches are the …

Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …

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 …

Due to the growth of e-commerce and online payment methods, the number of fraudulent
transactions has increased. Financial institutions with online payment systems must utilize …

In 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 …

This study proposes a framework for fraud detection in the auto insurance industry by using
predictive models. The feature selection is performed utilizing a publicly available car …

As credit card becomes the most popular payment mode particularly in the online sector, the
fraudulent activities using credit card payment technologies are rapidly increasing as a …

In recent years, credit card transaction fraud has resulted in massive losses for both
consumers and banks. Subsequently, both cardholders and banks need a strong fraud …

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 …