Detecting Fraud with User Interaction Data
Mario is a Ph.D. student at EPSRC CDT in Cloud Computing for Big Data at Newcastle University. Mario's work is in devising a smart system to be deployed at the back-end of the emerging mobile payment solutions to detect fraudulent users. It will be based on a Machine Learning model built on sensor data.
Using CrowdSignals.io Data
Mario will use the CrowdSignals.io data to test the user identification system for mobile devices which he is developing.
"A dataset which was required. Excellent project!"
- Mario Parreño-Centeno, Ph.D. Student, Newcastle University