Work

The Evaluation Indexes and Defence Methods of Critical Information Nodes in Power Information Physical System Considering False Data Injection Attack Propagation

Year: 2026

Type: article

Abstract: ABSTRACT False data injection (FDI) attacks pose a great threat to the safe operation of power grid. By attacking nodes with weak defences, high transmission risks and high returns, attackers can cause more damage to the power grid with limited resources. Therefore, it is of great significance to evaluate these critical nodes for active defence of power grid. This paper presents an evaluation index and defence method of critical information node. Firstly, by establishing an FDI attack model, information system model and attack propagation model, quantitative analysis is carried out on basic indicators, such as attack return, attack success probability, transmission risk, transmission intensity and correlation, between attack return and transmission risk of information nodes under FDI attack scene. According to the attack detected and no attack detected scenes, the basic evaluation indexes were selected, respectively, to establish a comprehensive evaluation index. Finally, based on the comprehensive evaluation index, two defence methods are proposed to improve the power grid's ability to resist FDI attacks, respectively, applicable to detected attacks and undetected attacks. The effectiveness of the proposed evaluation index and defence method is verified by the simulation results of IEEE57 nodes system.

Source: IET Energy Systems Integration

DOI: 10.1049/esi2.70027

Authors: Xinrui Liu, Zhuofan Shi, Rui Wang, Shufeng Gai, Min Hou, Qiuye Sun

Institution: Northeastern University

Language: English

Topic: Smart Grid Security and Resilience

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,200