Past Event! Note: this event has already taken place.
Data-Driven Vulnerability Analysis in Critical Infrastructure Systems
November 9, 2021 at 12:00 PM to 1:30 PM
| Location: | Online Via Zoom |
| Audience: | Anyone |
| Key Contact: | Identity, Privacy and Security Institute |
| Contact Email: | ipsi@utoronto.ca |
Jason Jaskolka will be giving an online seminar titled “Data-Driven Vulnerability Analysis in Critical Infrastructure Systems.” This seminar is part of the Joint Cybersecurity and Resilience Initiative (CRI) and Identity, Privacy and Security Institute (IPSI) Seminar Series at the University of Toronto.
Seminar Abstract:
Critical infrastructure systems consist of numerous components, and even more interactions, many of which may not be expected or foreseen by the system designers. The existence of these so-called implicit interactions indicates design flaws that, if not mitigated, could result in losses of system stability, safety, and security. For any system with an abundance of implicit interactions, it can be difficult to understand which aspects of the design contribute most to the presence of this vulnerability. In this talk, we will discuss a data-driven approach leveraging the identification and analysis of implicit interactions to identify weak points in the designs in critical infrastructure systems. We will demonstrate the approach on a real-world Wastewater Dechlorination System provided by a municipal wastewater treatment facility. We will present our experimental analysis and discuss how they can aid system designers in understanding the weaknesses in their designs and inform mitigation strategies to improve overall system security and resilience.