A Deep Learning-Based Cyberattack Detection System for Transmission Protective Relays

Khaw, YM, Jahromi, AA, Arani, MFM et al. (3 more authors) (2020) A Deep Learning-Based Cyberattack Detection System for Transmission Protective Relays. IEEE Transactions on Smart Grid. ISSN 1949-3053

Abstract

Metadata

Authors/Creators:
  • Khaw, YM
  • Jahromi, AA
  • Arani, MFM
  • Sanner, S
  • Kundur, D
  • Kassouf, M
Copyright, Publisher and Additional Information: © 2020 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.
Keywords: Cyberphysical systems, transmission protective relays, cyberattack detection systems, deep learning, operational technology
Dates:
  • Accepted: 9 November 2020
  • Published (online): 25 November 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 13 Jan 2021 14:10
Last Modified: 18 Jan 2021 13:26
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/tsg.2020.3040361

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