Scalable Fraud Detection Methods for Micro-donation Processing Platforms

The goal of this project is to investigate fraud detection methods for micro-donation processing platforms. Fraud detection is a popular topic in both industry and academia, but usually in the context of payment processing. Through this research we aim to develop a practical, scalable and robust fraud detection system for the specific use-case of micro-donation processing in an ecosystem which contains three primary entities consisting of donors, corporations and recipient charities. The partner organization (Benevity) will benefit from this research through improvement of its fraud detection activities.

Faculty Supervisor:

Antony Ware;Matthew Greenberg

Student:

Partner:

Benevity, Inc.

Discipline:

Mathematics

Sector:

Finance and Insurance; Information and Communications Technology

University:

University of Calgary

Program: