Impact Analysis of False Data Injection Attack on Smart Grid State Estimation Under Random Packet Losses

Xia, M, Du, D, Fei, M et al. (1 more author) (2021) Impact Analysis of False Data Injection Attack on Smart Grid State Estimation Under Random Packet Losses. In: Communications in Computer and Information Science. LSMS 2020, ICSEE 2020: Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops, 25 Oct 2020, Hangzhou, China. Springer , pp. 61-75. ISBN 978-981-33-6377-9

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Copyright, Publisher and Additional Information: © Springer Nature Singapore Pte Ltd. 2020. This is an author produced version of a conference paper published in Communications in Computer and Information Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: False data injection attack; Random packet losses; Weighted least squares estimation; Smart grid
Dates:
  • Accepted: 10 July 2020
  • Published (online): 12 January 2021
  • Published: 12 January 2021
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: 08 Mar 2021 16:41
Last Modified: 25 May 2021 10:37
Status: Published
Publisher: Springer
Identification Number: https://doi.org/10.1007/978-981-33-6378-6_5

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