A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement

View/ Open
File version
Accepted Manuscript (AM)
Author(s)
Cui, Yi
Bai, Feifei
Liu, Yong
Liu, Yilu
Griffith University Author(s)
Year published
2018
Metadata
Show full item recordAbstract
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.
View less >
View less >
Journal Title
IEEE Transactions on Smart Grid
Volume
9
Issue
4
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