Leading Indicator Generation from Cryptocurrency to Detect Fraud

The goal is to understand the behavior of cryptocurrency chains when fraud amounts are transferred from the MasterCard network to cryptocurrency exchanges. Based on this understanding, we need to come up with an Index score or Leading indicators of certain pattern that indicates high fraudulent activity in the MasterCard network. We need to build such indicators at least aggregate level and verify the importance of the same in predicting future fraud. The algorithm should be able to continue to come up with new patterns and anomalous activity for further analysis.

Faculty Supervisor:

Homayoun Najjaran;Majid Khabbazian

Student:

Partner:

Mastercard

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Alberta; University of Victoria

Program:

Accelerate

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