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On Feasibility and Limitations of Detecting False Data Injection Attacks on Power Grid State Estimation Using D-FACTS Devices

机译:用D型事实装置检测假数据注射攻击的可行性和限制

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Recent studies have investigated the possibilities of proactively detecting the high-profile false data injection (FDI) attacks on power grid state estimation by using the distributed flexible ac transmission system (D-FACTS) devices, termed as proactive false data detection (PFDD) approach. However, the feasibility and limitations of such an approach have not been systematically studied in the existing literature. In this paper, we explore the feasibility and limitations of adopting the PFDD approach to thwart FDI attacks on power grid state estimation. Specifically, we thoroughly study the feasibility of using PFDD to detect FDI attacks by considering single-bus, uncoordinated multiplebus, and coordinatedmultiple-bus FDI attacks, respectively. We prove that PFDD can detect all these three types of FDI attacks targeted on buses or super-buses with degrees larger than 1, if and only if the deployment of D-FACTS devices covers branches at least containing a spanning tree of the grid graph. The minimum efforts required for activating D-FACTS devices to detect each type of FDI attacks are, respectively, evaluated. In addition, we also discuss the limitations of this approach; it is strictly proved that PFDD is not able to detect FDI attacks targeted on buses or super-buses with degrees equalling 1.
机译:最近的研究通过使用分布式灵活的AC传输系统(D-FACTS)器件,主动检测高调错误数据注入(FDI)攻击对电网状态估计的可能性,称为主动虚假数据检测(PFDD)方法。然而,在现有文献中尚未系统地研究这种方法的可行性和限制。在本文中,我们探讨了采用PFDD方法对电网状态估算的FDI攻击的可行性和限制。具体而言,我们彻底研究了使用PFDD通过考虑单总线,未开放的多公和协调多功率-Bus FDI攻击来检测FDI攻击的可行性。我们证明,PFDD可以检测在总线上的所有这三种类型的FDI攻击,具有大于1的总线,如果且仅当D-Facts设备的部署覆盖至少包含网格图的生成树的分支。激活D-FACTS设备所需的最低努力分别评估为检测每种类型的FDI攻击。此外,我们还讨论了这种方法的局限性;严格证明,PFDD无法检测目标在公共汽车或超级公交车上的外国直接投资攻击,等级为等级1。

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