Machine Learning and Deep Learning methods are widely adopted across financial
domains to support trading activities, mobile banking, payments, and making customer credit …

The great losses caused by financial fraud have attracted continuous attention from
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …

Banking fraud prevention and risk management are paramount in the modern financial
landscape, and the integration of Artificial Intelligence (AI) offers a promising avenue for …

Financial institutions grapple with the escalating nature of fraudulent activities, necessitating
innovative and timely detection methods. The review underscores the transformative …

The rapid evolution of financial technology (fintech) platforms has exponentially increased
the volume and sophistication of financial transactions, concurrently elevating the risk and …

Financial fraud, such as money laundering, is known to be a serious process of crime that
makes illegitimately obtained funds go to terrorism or other criminal activity. This kind of …

Financial crime is a large and growing problem, in some way touching almost every financial
institution. Financial institutions are the front line in the war against financial crime and …

Financial technology, or Fintech, represents an emerging industry on the global market. With
online transactions on the rise, the use of IT for automation of financial services is of …

The principal objective of this research was to examine strategies for detecting and
mitigating cyber threats in the next generation, by underscoring Artificial Intelligence (AI) and …

In recent years, with the rapid development of Internet technology, the number of credit card
users has increased significantly. Subsequently, credit card fraud has caused a large …