A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement

被引：23

作者：

Cui, Yi ^{[1
]}

Bai, Feifei ^{[2
]}

Liu, Yong ^{[1
]}

Liu, Yilu ^{[1
]}

机构：

[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA

[2] Univ Queensland, Sch Informat Technol & Elect Engn, Brisbane, Qld 4072, Australia

来源：

IEEE TRANSACTIONS ON SMART GRID | 2018年 / 9卷 / 04期

关键词：

Cyber security; measurement; source authentication; spatial signature; phasor measurement unit (PMU);

D O I：

10.1109/TSG.2018.2826444

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：3914 / 3916

页数：3

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