Date: May 5th, 2021, 12:00 PM to 1:00 PM (MDT)

Presented by: Dr. Deepa Kundur, Ph.D., P.Eng.

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The field of cyber-physical security has evolved greatly over the
last decade especially in the context of critical infrastructures
such as the smart grid. The current challenges aim to address the
increased sophistication of cyberattacks in the context of a more
automated grid. Emerging polymorphic and stealthy attacks
necessitate more coordinated and intelligent approaches to
mitigation. In addition to the typical defense-in-depth paradigm,
more harmonized protection and resilience strategies are
essential. Development of next-generation tools for cyber-physical
security requires the adoption of effective models that are
compatible with salient trends in smart grid infrastructure
including Information Technology/Operational Technology (IT/OT)
convergence. The resulting data-rich cyber- physical environment
from IT/OT convergence suggests a strong need for greater
data-driven modelling paradigms and analytics. In this talk, we
provide examples of deep learning in the context of anomaly
detection for the cyber-physical protection of transmission
protection systems. We then present a brave new world of
opportunities for smart grid cyber-physical security using a data
analytics-driven approach.

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