In today's digital age, the proliferation of online transactions, e-commerce, and digital
banking has created new opportunities for fraudsters to exploit vulnerabilities in financial …

Abstract Artificial Intelligence (AI) and Machine Learning (ML) are being used more and
more to handle complex tasks in many different areas. As a result, interconnected …

Credit cards play an essential role in today's digital economy, and their usage has recently
grown tremendously, accompanied by a corresponding increase in credit card fraud …

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 …

As the use of Blockchain for digital payments continues to rise in popularity, it also becomes
susceptible to various malicious attacks. Successfully detecting anomalies within Blockchain …

Sustainable financial fraud detection (FD) comprises the use of sustainable and ethical
practices in the detection of fraudulent activities in the financial sector. Credit card fraud …

Fraud seriously threatens individual interests and social stability, so fraud detection has
attracted much attention in recent years. In scenarios such as social media, fraudsters …

In the realm of financial security, the detection and prevention of credit card fraud has
become paramount. With the ever-increasing reliance on digital transactions, the risk of …

In the cybersecurity industry, where legitimate transactions far outnumber fraudulent ones,
detecting fraud is of paramount significance. In order to evaluate the accuracy of detecting …

Fraud detection is a challenging task that can be difficult to carry out. To address these
challenges, a comprehensive framework has been developed which includes a new …