Available MASc and PHD Position
Artificial Intelligence for Protecting Critical Infrastructure
Although the digitalization of Critical Infrastructures (CI) through the Internet of Things (IoT) facilitates real-time monitoring and control of these systems, it presents an array of complex security and monitoring challenges to CI. The backbone of these facilities, including oil and gas, refinery, and smart grids, consists of an Industrial Control System (ICS). A cyber-attack/ fault on ICS will result in anomalous process/network behavior, which should be identified in a timely manner to prevent catastrophic damages.
This project is focused on building a multi-view Deep Learning (DL) anomaly detection model designed explicitly for threat hunting in ICS.
For more information please visit Future Students page.