A Measurement Source Authentication Methodology for Power System Cyber Security Enhancement

Journal Article · Fri Apr 06 00:00:00 EDT 2018 · IEEE Transactions on Smart Grid

DOI:https://doi.org/10.1109/TSG.2018.2826444· OSTI ID:1474557

Cui, Yi ^[1]; Bai, Feifei ^[2]; Liu, Yong ^[1]; Liu, Yilu ^[1]

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1. Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science
2. Univ. of Queensland, Brisbane (Australia). School of Information Technology and Electrical Engineering

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. Finally, experiment results using five phasor measurement units has validated the effectiveness of this methodology.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 1474557
• Journal Information: IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 4 Vol. 9; ISSN 1949-3053
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
97 MATHEMATICS AND COMPUTING
Cyber security
measurement
phasor measurement unit (PMU)
source authentication
spatial signature