The dataset allegedly includes names, email addresses, postal addresses, phone numbers, and account-related details.

This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...

The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...

DENVER, CO, UNITED STATES, January 12, 2026 /EINPresswire.com/ — The Deepfake Summit, the first official event produced by The Prism Project and Acuity Market ...

Introduction: The growing prevalence of fraud and malware, fueled by increased online activity and digital transactions, has exposed the shortcomings of conventional detection systems, particularly in ...

A builder who swindled dozens of customers out of about £1.25 million ($1.69 million) has been sentenced to 14 years in prison after a court heard he used some of the money to fund his gambling habit.

Abstract: The challenge of fraud detection, especially in credit card transactions, continues to grow as fraudsters adapt to increasingly sophisticated tactics. Traditional methods, including ...

Financial fraud has become both more sophisticated and harder to isolate, hiding within massive streams of legitimate activity. Conventional machine learning models, long relied upon by banks and ...