Spatio-Temporal Characterization of Synchrophasor Data Against Spoofing Attacks in Smart Grids

被引:32
作者
Cui, Yi [1 ]
Bai, Feifei [2 ]
Liu, Yilu [1 ,3 ]
Fuhr, Peter L. [3 ,4 ,5 ]
Morales-Rodriguez, Marissa E. [3 ]
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
[3] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA
[4] Oak Ridge Natl Lab, Unmanned Aerial Syst Res Lab, Oak Ridge, TN 37831 USA
[5] Oak Ridge Natl Lab, Grid Security, Oak Ridge, TN 37831 USA
基金
美国国家科学基金会;
关键词
Cyber security; machine learning; phasor measurement unit (PMU); spoofing attack; wide-area measurement systems (WAMS);
D O I
10.1109/TSG.2019.2891852
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
"Source ID Mix" has emerged as a new type of highly deceiving attack which can alter the source information of synchrophasor data measured by multiple phasor measurement units, thereby paralyzing many wide-area measurement systems applications. To address such sophisticated cyber attacks, we have exploited the spatio-temporal characteristics of synchrophasor data for authenticating measurements' source information. Specifically, the source authentication is performed when the measurements are subjected to three types of spoofing attacks. Some practical difficulties in applying the proposed method on real-time authentication caused by insufficient measurement data have also been solved. Experimental results with real synchrophasor measurements have validated the effectiveness of the proposed method in detecting such complicated data spoofing and improving power systems' cyber security.
引用
收藏
页码:5807 / 5818
页数:12
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