Towards Attack Resilient Data Analytics for Power Grid Operations

Presenter: 

Sashini De Silva and Travis Hagan, Ph.D. students in the Department of Electrical Engineering and Computer Science at Oregon State University. 

Date: 
Friday, April 27, 2018 - 1:00pm
Description: 

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With an abundance of real-time data from a power grid, real-time data analytics is expected to revolutionize the way that critical decisions are made in power system operations. Nevertheless, employing data analytics for critical decision making may create a new attack surface unless a proper countermeasure is accompanied. In particular, an adversary may perturb power system operations by manipulating part of input data to the analytics. Therefore, an attack-resilient framework of designing and implementing such data analytics is necessary. In this talk, we will present an attack-resilient data analytics framework for power system protection. The proposed data analytics employs an artificial intelligence method equipped with power system simulator modules. The analytics processes real-time PMU data streams to compute an optimal protection decision in the presence of a GPS spoofing attack on PMUs. We will present the overview of our attack-resilient analytics and demonstrate its robustness against GPS spoofing attacks.

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