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  • A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement

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    Bai514008-Accepted.pdf (557.4Kb)
    File version
    Accepted Manuscript (AM)
    Author(s)
    Cui, Yi
    Bai, Feifei
    Liu, Yong
    Liu, Yilu
    Griffith University Author(s)
    Bai, Feifei
    Year published
    2018
    Metadata
    Show full item record
    Abstract
    This letter proposes a spatial signature-based power system measurement source identification and authentication methodology. A mathematical morphology method is used to decompose the power system measurement signals and obtain the intrinsic components, which sparsity trends and roughness values are further derived to establish the time-frequency (TF) sparsity mapping. Then random forest classification is utilized to correlate the correct measurement source for each measurement signal based on the derived TF sparsity mapping. Experiment results using five phasor measurement units has validated the effectiveness of this methodology.This letter proposes a spatial signature-based power system measurement source identification and authentication methodology. A mathematical morphology method is used to decompose the power system measurement signals and obtain the intrinsic components, which sparsity trends and roughness values are further derived to establish the time-frequency (TF) sparsity mapping. Then random forest classification is utilized to correlate the correct measurement source for each measurement signal based on the derived TF sparsity mapping. Experiment results using five phasor measurement units has validated the effectiveness of this methodology.
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    Journal Title
    IEEE Transactions on Smart Grid
    Volume
    9
    Issue
    4
    DOI
    https://doi.org/10.1109/TSG.2018.2826444
    Copyright Statement
    © 2018 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.
    Subject
    Electrical engineering
    Other engineering
    Science & Technology
    Engineering, Electrical & Electronic
    Cyber security
    Publication URI
    http://hdl.handle.net/10072/413495
    Collection
    • Journal articles

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