Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Artificial intelligence (AI) is rapidly transforming the way we work. While AI is impacting many traditional jobs, it is also ...

Hacktivist group claims a 2.3-terabyte data breach exposes information of 36 million Mexicans, but no sensitive accounts are ...

This hybrid approach achieves 94.1% accuracy while maintaining a low 2.8% false positive rate, making it suitable for production deployment in UIDAI's fraud detection pipeline. uidai-anomaly-detection ...

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

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 ...

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 ...

What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...

Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns remains ...

The Insurance Council of Australia (ICA) has revealed a new partnership with Shift Technology and EXL to create a national platform for detecting and investigating insurance fraud. This initiative, ...