Machine Learning based Intrusion Detection: Automation and Resilience

Founded in 2011, StreamScan is an organization specialized in computer security operational. The company is composed of several experts in the fields of management security incidents, intrusion detection, security audit, penetration testing, security governance, security breach detection and of artificial intelligence applied to cybersecurity. StreamScan’s expertise is used by many cyber-victimized organizations attacks. Its incident response team has supported several companies to minimize the damage from hackers and ensure that cyber threats are eradicated from the company infrastructure. StreamScan’s advanced detection technology of cyber threats has been selected by the Canadian government as an innovation. StreamScan is developing the new generation of detection systems for SMEs as well as big enterprises. The proposed project aims at improving the AI algorithms developed by StreamScan and their management.

Faculty Supervisor:

Chamseddine Talhi

Student:

Partner:

StreamScan

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

École de technologie supérieure

Program: