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CFDI: Coordinated false data injection attack in active distribution network.

Authors :
Liu, Yang
Yang, Chenyang
Yu, Nanpeng
Wang, Jiazhou
Tian, Jue
Huang, Hao
Zhou, Yadong
Liu, Ting
Source :
IET Generation, Transmission & Distribution (Wiley-Blackwell); Aug2024, Vol. 18 Issue 15, p2556-2569, 14p
Publication Year :
2024

Abstract

The active distribution network (ADN) can obtain measurement data, estimate system states, and control distributed energy resources (DERs) and flexible loads to ensure voltage stability. However, the ADN is more vulnerable to cyber attacks due to the recent wave of digitization and automation efforts. In this article, false data injection (FDI) attacks are focused on and they are classified into two types, that is, type I attacks on measurement data and type II attacks on control commands. After studying the impact of these two FDI attacks on the ADN, a new threat is revealed called coordinated FDI attack, which can maximize the voltage deviation by coordinating type I and type II FDI attacks. From the attacker's perspective, the scheme of CFDI is proposed and an algorithm is developed to find the optimal attack strategy. The feasibility of CFDI attacks has been validated on a smart distribution testbed. Moreover, simulation results on an ADN benchmark have demonstrated that CFDI attacks could cause remarkable voltage deviation that may deteriorate the stability of the distribution network. Moreover, the impact of CFDI attacks is higher than pure type I or type II attacks. To mitigate the threat, some countermeasures against CFDI attacks are also proposed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17518687
Volume :
18
Issue :
15
Database :
Complementary Index
Journal :
IET Generation, Transmission & Distribution (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
178945070
Full Text :
https://doi.org/10.1049/gtd2.13217