AI-based anomaly detection for computer network security

This project will develop an intelligent tool that helps protect computer networks from cyber-attacks. Cyber-attacks are becoming more advanced and harder to detect, so traditional methods often miss new, unknown threats. Using artificial intelligence (AI), this project will create a system that can spot unusual activity on a network, which might indicate an attack. The tool will be tested and improved using real data provided by IntelliSec, a cybersecurity company. The project also tackles the challenge of ensuring that the AI system can still perform well even if the data used to train it is not clean. The expected benefit for IntelliSec is a stronger, more reliable defense system that can better protect their clients from cyber threats.

Faculty Supervisor:

Marc Frappier;Pierre-Martin Tardif

Student:

Partner:

Intellisec Solutions

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program: