Synthetic Identity Fraud Detection Is a Correlation Problem, Not a Door Check

Fraud and onboarding teams treat the problem as something a sharper identity check should catch. Better documents, better ...
IEEE

Credit Card Fraud Recognition using Deep Learning and Optimization-Driven RNN Fine-Tuned Coyote Algorithm

Abstract: With the rapid growth of credit card transactions in electronic payments, financial institutions face increasing fraud risks, resulting in significant financial losses. An effective fraud ...
IEEE

Operational Benchmarking of ML Models for Fraud Detection: A Comparative Study on AWS EC2 and ECS

Abstract: Credit card fraud detection increasingly depends not just on model accuracy but on real-time deployment performance and scalability. While many studies benchmark algorithmic improvements in ...
GitHub

Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker

An end-to-end Machine Learning Project carried out by Group 3 Zummit Africa AI/ML Team to detect fraudulent credit card transactions. Built with FastAPI, Streamlit and Docker. Credit card fraud is an ...
Scientific Research Publishing

Credit Card Fraud Detection Using Weighted Support Vector Machine ()

Credit card fraudulent data is highly imbalanced, and it has presented an overwhelmingly large portion of nonfraudulent transactions and a small portion of fraudulent transactions. The measures used ...
Independent.ie

Credit card fraud mastermind jailed for four years

MOHAMMED Saleem was a businessman. He made phoney credit cards. And he made a real fortune until gardai cracked his operation. They uncovered his "factory" in Dublin's Ballymun and found the equipment ...