中国电机工程学报2025，Vol.45Issue(19)：7481-7492,中插18,13.DOI:10.13334/j.0258-8013.pcsee.240632
不完全信息下计及残差污染的虚假数据注入攻击新模式
A New Mode of False Data Injection Attack With Incomplete Information and Residual Pollution
摘要
Abstract
As the main technical means to support the safe and stable operation of power grid,the network security of electric power supervisory control and data acquisition(SCADA)system has attracted much attention.In view of this,a new pattern of false data injection attack(FDIA)with residual pollution is proposed in this paper.In this model,the residual pollution phenomenon in power system state estimation is used to induce the bad data identification link to eliminate the normal measurement and retain the tampered measurement,so as to accurately mislead the state estimation results.In view of different identification principles of weighted/standardized residual search method,two attack models are proposed.Considering the reality that attackers have incomplete network information,the attack modeling mechanism under incomplete information is mined,and an attack scheme optimization algorithm based on mechanism-driven and graph theory search is designed.The example shows that the attacker only needs to master the local topology and line parameters to construct the attack vector in tens of milliseconds,and mislead the DC/AC state estimation results at a small attack cost,thus damaging the safe,stable and economic operation of the power grid.关键词
电力数据采集与监控系统/虚假数据注入攻击/状态估计/残差污染/模型驱动Key words
electric power supervisory control and data acquisition(SCADA)system/false data injection attack(FDIA)/state estimation/residual pollution/model-driven分类
信息技术与安全科学引用本文复制引用
杨玉泽,刘文霞,刘耕铭,张帅,李承泽,曾泽华,成锐..不完全信息下计及残差污染的虚假数据注入攻击新模式[J].中国电机工程学报,2025,45(19):7481-7492,中插18,13.基金项目
中央高校基本科研业务费专项资金项目(2024MS001).Fundamental Research Funds for the Central Universities(2024MS001). （2024MS001）
