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Analysis of load-altering attacks against power grids : a rare-event sampling approach
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Goodridge, Maldon Patrice, Lakshminarayana, Subhash and Few, Christopher (2022) Analysis of load-altering attacks against power grids : a rare-event sampling approach. In: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Manchester, United Kingdom, 12-15 June 2022. Published in: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) ISBN 9781665412117. doi:10.1109/pmaps53380.2022.9810602 ISSN 2642-6757.
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Official URL: https://doi.org/10.1109/pmaps53380.2022.9810602
Abstract
By manipulating tens of thousands of internet-of-things (IoT) enabled high-wattage electrical appliances (e.g., WiFi-controlled air-conditioners), large-scale load-altering attacks (LAAs) can cause severe disruptions to power grid operations. In this work, we present a rare-event sampling approach to identify LAAs that lead to critical network failure events (defined by the activation of a power grid emergency response (ER)). The proposed sampler is designed to ‘skip’ over LAA instances that are of little interest (i.e., those that do not trigger network failure), thus significantly reducing the computational complexity in identifying the impactful LAAs. We perform extensive simulations of LAAs using the Kundur two-area system (KTAS) power network while employing the rare-event sampler. The results help us identify the victim nodes from which the attacker can launch the most impactful attacks and provide insights into how the spatial distribution of LAAs triggers the activation of ERs.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
SWORD Depositor: | Library Publications Router | ||||||
Library of Congress Subject Headings (LCSH): | Internet of things, Electric power system stability, Cyberterrorism | ||||||
Journal or Publication Title: | 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) | ||||||
Publisher: | IEEE | ||||||
ISBN: | 9781665412117 | ||||||
ISSN: | 2642-6757 | ||||||
Official Date: | 4 July 2022 | ||||||
Dates: |
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DOI: | 10.1109/pmaps53380.2022.9810602 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 25 August 2022 | ||||||
Date of first compliant Open Access: | 25 August 2022 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Manchester, United Kingdom | ||||||
Date(s) of Event: | 12-15 June 2022 |
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