Literature Review on False Data Injection Attacks Against Power System

被引：0

作者：

Liang, Gaoqi ^{[1
]}

Zhao, Junhua ^{[2
,3
]}

Luo, Fengji ^{[1
]}

Weller, Steven R. ^{[4
]}

Dong, Zhao Yang ^{[2
,4
]}

机构：

[1] Univ Newcastle, Ctr Intelligent Elect Networks, Callaghan, NSW, Australia

[2] CSG, Elect Power Res Inst, Guangzhou, Peoples R China

[3] Chinese Univ Hong Kong Shenzhen, Shenzhen, Peoples R China

[4] Univ Newcastle, Sch Elect Engn & Comp Sci, Callaghan, NSW, Australia

来源：

IEEE SOUTHEASTCON 2020 | 2020年

关键词：

false data injection attacks; detection of bad data; physical security; STATE ESTIMATION; DEFENSE;

D O I：

10.1109/southeastcon44009.2020.9249717

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

False data injection attacks against the power system make full use of the traditional state estimation flaw detection of bad data. Cyber attackers can successfully inject false data into the vector equipment value to modify value and state variables of power grids, control the operation state of power grids, obtain economic benefits and other illegal purposes. This paper expounds on the issues about the physical security of power grids, the principle of false data injection attacks, its influence on power grids, how to prevent this kind of cyber attack, analyzes research status of false data injection attacks and unresolved problems.

引用

页数：5

共 26 条

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[2]

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[3]

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