A Novel Sparse False Data Injection Attack Method in Smart Grids with Incomplete Power Network Information

The paper investigates a novel sparse false data injection attack method in a smart grid (SG) with incomplete power network information. Most existing methods usually require the known complete power network information of SG. The main objective of this paper is to propose an effective sparse false...

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Main Authors: Huixin Zhong, Dajun Du, Chuanjiang Li, Xue Li
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2018/8503825
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author Huixin Zhong
Dajun Du
Chuanjiang Li
Xue Li
author_facet Huixin Zhong
Dajun Du
Chuanjiang Li
Xue Li
author_sort Huixin Zhong
collection DOAJ
description The paper investigates a novel sparse false data injection attack method in a smart grid (SG) with incomplete power network information. Most existing methods usually require the known complete power network information of SG. The main objective of this paper is to propose an effective sparse false data injection attack strategy under a more practical situation where attackers can only have incomplete power network information and limited attack resources to access the measurements. Firstly, according to the obtained measurements and power network information, some incomplete power network information is compensated by using the power flow equation approach. Then, the fault tolerance range of bad data detection (BDD) for the attack residual increment is estimated by calculating the detection threshold of the residual L2-norm test. Finally, an effective sparse imperfect strategy is proposed by converting the choice of measurements into a subset selection problem, which is solved by the locally regularized fast recursive (LRFR) algorithm to effectively improve the sparsity of attack vectors. Simulation results on an IEEE 30-bus system and a real distribution network system confirm the feasibility and effectiveness of the proposed new attack construction method.
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institution OA Journals
issn 1076-2787
1099-0526
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
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spelling doaj-art-c4848ce41a64463bbba656fb407baa1f2025-08-20T02:18:46ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/85038258503825A Novel Sparse False Data Injection Attack Method in Smart Grids with Incomplete Power Network InformationHuixin Zhong0Dajun Du1Chuanjiang Li2Xue Li3School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai, ChinaSchool of Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai, ChinaThe paper investigates a novel sparse false data injection attack method in a smart grid (SG) with incomplete power network information. Most existing methods usually require the known complete power network information of SG. The main objective of this paper is to propose an effective sparse false data injection attack strategy under a more practical situation where attackers can only have incomplete power network information and limited attack resources to access the measurements. Firstly, according to the obtained measurements and power network information, some incomplete power network information is compensated by using the power flow equation approach. Then, the fault tolerance range of bad data detection (BDD) for the attack residual increment is estimated by calculating the detection threshold of the residual L2-norm test. Finally, an effective sparse imperfect strategy is proposed by converting the choice of measurements into a subset selection problem, which is solved by the locally regularized fast recursive (LRFR) algorithm to effectively improve the sparsity of attack vectors. Simulation results on an IEEE 30-bus system and a real distribution network system confirm the feasibility and effectiveness of the proposed new attack construction method.http://dx.doi.org/10.1155/2018/8503825
spellingShingle Huixin Zhong
Dajun Du
Chuanjiang Li
Xue Li
A Novel Sparse False Data Injection Attack Method in Smart Grids with Incomplete Power Network Information
Complexity
title A Novel Sparse False Data Injection Attack Method in Smart Grids with Incomplete Power Network Information
title_full A Novel Sparse False Data Injection Attack Method in Smart Grids with Incomplete Power Network Information
title_fullStr A Novel Sparse False Data Injection Attack Method in Smart Grids with Incomplete Power Network Information
title_full_unstemmed A Novel Sparse False Data Injection Attack Method in Smart Grids with Incomplete Power Network Information
title_short A Novel Sparse False Data Injection Attack Method in Smart Grids with Incomplete Power Network Information
title_sort novel sparse false data injection attack method in smart grids with incomplete power network information
url http://dx.doi.org/10.1155/2018/8503825
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