A surge in digital payment technologies has been paralleled by an equally rapid increase in credit card fraud. This research field explores multifaceted approaches that combine advanced analytics, ...

Ever find your palms sweating as you enter your payment info into a merchant site you’ve never used before? It’s a natural response; few financial details are more important than your payment methods ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Banks are using huge amounts of data to separate legitimate purchases from scams. That's great for customers, even if it's a bit creepy.

Discover how the Luhn Algorithm verifies credit card accuracy, supports secure transactions, and helps prevent errors in inputting Social Security numbers.

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

As we anticipate the year 2026, it is clear that AI will be a driving force behind profit growth for credit card operators and retailers. By enhancing fraud detection, optimizing inventory, and ...

If you’ve ever had a credit card purchase mysteriously rejected only to discover later that the bank thought you were a fraudulent user, you may appreciate an effort by MasterCard International to use ...