Simulation based modeling for a cybersecure power grid

Michael Mesham, Mahmoud Fahmy, Nurcin Celik

Research output: Contribution to journalConference articlepeer-review

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)
Pages (from-to)299-310
Number of pages12
JournalSimulation Series
Volume52
Issue number1
StatePublished - 2020
Event2020 Spring Simulation Multiconference, SpringSim 2020 - Virtual, Online
Duration: May 18 2020May 21 2020

Keywords

  • Cybersecurity
  • Machine learning
  • North American bulk power system

ASJC Scopus subject areas

  • Computer Networks and Communications

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