Simulation Based Modeling for a Cybersecure Power Grid

Michael Mesham, Mahmoud Fahmy, Nurcin Celik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The North American bulk power system is one of the most vital infrastructures in modern society as it accounts for virtually all the electricity supplied to the United States, Canada, and a portion of Baja Notre California, Mexico. Cyberattacks, of all forms, are becoming increasingly prominent within power networks and other infrastructures whereas their resolution can consume a significant deal of time and monetary resources. This can be further worsened if there are subsequent physical attacks in the wake of a cyberattack, as the system downtime leaves the government, military, and other critical infrastructures incredibly vulnerable This research aims to investigate if different patterns of cyberattacks could be identified with speed using simulation and machine learning algorithms. More specifically, we design a simulation model that can help better defend against cyber threats.

Original languageEnglish (US)
Title of host publicationProceedings of the 2020 Spring Simulation Conference, SpringSim 2020
EditorsFernando J. Barros, Xiaolin Hu, Hamdi Kavak, Alberto A. Del Barrio
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781565553705
DOIs
StatePublished - May 2020
Event2020 Spring Simulation Conference, SpringSim 2020 - Virtual, Fairfax, United States
Duration: May 18 2020May 21 2020

Publication series

NameProceedings of the 2020 Spring Simulation Conference, SpringSim 2020

Conference

Conference2020 Spring Simulation Conference, SpringSim 2020
CountryUnited States
CityVirtual, Fairfax
Period5/18/205/21/20

Keywords

  • cybersecurity
  • machine learning
  • North American bulk power system

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation

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