DOI:10.1007/s40565-018-0427-z |
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Intelligent data attacks against power systems using incompletenetwork information: a review |
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Author:
Yufei SONG1, Xuan LIU1 , Zhiyi LI2, Mohammad SHAHIDEHPOUR2, Zuyi LI2
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Author Affiliation:
1. College of Electrical and Information Engineering, Hunan
University, Changsha, China
2. Electrical and Computer Engineering Department, Illinois
Institute of Technology, Chicago, IL, USA
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Foundation: |
This work was supported by National Natural
Science Foundation of China (No. 51777062), National key research
and development program (No. 2018YFB0904200) the Fundamental
Research Funds for the Central Universities, and Hunan science and
technology project (No. 2017XK2014). |
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Abstract: |
With the integration of information technologies,
power system operations are increasingly threatened
by cyber-attacks. It has even been revealed that an attacker
can inject false data into real-time measurements stealthily
without knowing the full configuration (e.g., network
topology) of a power system. In this paper, we present a
comprehensive review on false data injection attacks which
utilize barrier conditions, blind identification techniques
and data driven approaches to overcome limitations of
incomplete network information. We also point out future
research topics for facilitating the detection and prevention
of such false data attacks. |
Keywords: |
Cyber security, False data injection attack, Incomplete network information, Power system state estimation |
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Online Time:2018/07/20 |
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