Big Data for Fraud Detection and Prevention

Accurately and rapidly detecting fraudulent transactions is primordial in the course of any corporation?s routine operations and essential to its commercial viability, especially a deposit-taking bank. We investigate the use of computer-based techniques to automatically detect fraudulent use of a real banking network. Our goal ultimate goal is to make electronic commerce safer, which will benefit all Canadians.

Faculty Supervisor:

Yuri Lawryshyn

Student:

Pierre Miasnikof

Partner:

Canadian Imperial Bank of Commerce

Discipline:

Engineering - chemical / biological

Sector:

University:

University of Toronto

Program:

Accelerate

Related projects

Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.

View all
Current openings

Find the perfect opportunity to put your academic skills and knowledge into practice!

Find Projects

Mitacs Partners

The strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.

Government
Academic
Industry
Innovation

International

Load More

International

Load More

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe
Canada