A Novel False Data Injection Attack Formulation Based on CUR Low-Rank Decomposition Method

被引：7

作者：

Mukherjee, Debottam ^{[1
]}

Ghosh, Sandip ^{[1
]}

Misra, Rakesh Kumar ^{[1
]}

机构：

[1] Banaras Hindu Univ, Dept Elect Engn, Indian Inst Technol, Varanasi 221005, Uttar Pradesh, India

来源：

IEEE TRANSACTIONS ON SMART GRID | 2022年 / 13卷 / 06期

关键词：

Topology; Matrix decomposition; Time measurement; Extraterrestrial measurements; Approximation algorithms; State estimation; Q measurement; Cyber-security; false data injection attack; smart grid; state estimation; MONTE-CARLO ALGORITHMS;

D O I：

10.1109/TSG.2022.3204214

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：

State estimation algorithms deployed in modern grids are vulnerable towards false data injection attacks. This work demonstrates a novel attack vector (AV) formulation scheme by exploiting the low-rank subspace of the topology matrix. With constraints over the state deviation vector, this work showcases that the developed AV can effectively bypass the residue test for a demonstrated test bench.

引用

页码：4965 / 4968

页数：4

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