Malicious attacks for maximising island numbers in cyber-physical power system: a graph-theoretic approach

Du, M. orcid.org/0009-0009-9806-841X, Zhang, X. orcid.org/0000-0002-6063-959X, Zhang, J. orcid.org/0000-0002-6188-4108 et al. (1 more author) (2025) Malicious attacks for maximising island numbers in cyber-physical power system: a graph-theoretic approach. IEEE Internet of Things Journal. ISSN: 2327-4662

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Item Type: Article
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© 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in IEEE Internet of Things Journal is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
Keywords: Graph theory; cyber-physical power system; power island; malicious attacks
Dates:
  • Published (online): 9 October 2025
  • Published: 9 October 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering
Funding Information:
Funder
Grant number
UK Research and Innovation
MR/W011360/1
UK RESEARCH AND INNOVATION
MR/W011360/1 MR/W011360/2
Date Deposited: 13 Oct 2025 15:14
Last Modified: 13 Oct 2025 15:14
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/jiot.2025.3619395
Open Archives Initiative ID (OAI ID):

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