Building and Evaluating a Consolidated SIEM (Security Information and Event Management) Threat Identification

Businesses are collecting more and more data, but they do not have the manpower to properly analyse it. This project will implement a proof of concept for a system that uses machine learning to improve the detection of cyber threats. The machine learning algorithm will receive information from many different data sources, detect where there is suspicious activity, and alert a cyber analyst. By adding a machine learning algorithm to the arsenal of cyber analysts, the analysts will be able to cut down on the time it takes to react to the threats. The project will produce reports and documents analyzing the effectiveness of the machine learning algorithm.

Faculty Supervisor:

Rozita Dara

Student:

Giacomo Nunno

Partner:

Farm Credit Canada

Discipline:

Computer science

Sector:

Finance, insurance and business

University:

University of Guelph