Data-Driven False Data Injection Attack: A Low-Rank Approach

被引：26

作者：

Mukherjee, Debottam ^{[1
]}

机构：

[1] Indian Inst Technol BHU Varanasi, Dept Elect Engn, Varanasi 221005, Uttar Pradesh, India

来源：

IEEE TRANSACTIONS ON SMART GRID | 2022年 / 13卷 / 03期

关键词：

Sparse matrices; Matrix decomposition; State estimation; Approximation algorithms; Detectors; Singular value decomposition; Detection algorithms; Cyber security; false data injection attack; smart grid; state estimation;

D O I：

10.1109/TSG.2022.3145633

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：

False data injection attack on the state estimation algorithms have already showcased its detrimental effects for modern grid operation. This letter promotes a novel attack vector formulation policy for the linear state estimation algorithm by exploring the low-rank subspace of the mapping matrix. An extensive analysis on the IEEE 14 bus test bench promotes the aforementioned propositions.

引用

页码：2479 / 2482

页数：4

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