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False data injection attacks on phasor measurements that bypass low-rank decomposition

机译:对相量测量的错误数据注入攻击会绕过低秩分解

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This paper studies the vulnerability of phasor measurement units (PMUs) to false data injection (FDI) attacks. Prior work demonstrated that unobservable FDI attacks that can bypass traditional bad data detectors based on measurement residuals can be identified by detector based on low-rank decomposition (LD). In this work, a class of more sophisticated FDI attacks that captures the temporal correlation of PMU data is introduced. Such attacks are designed with a convex optimization problem and can always bypass the LD detector. The vulnerability of this attack model is illustrated on both the IEEE 24-bus RTS and the IEEE 118-bus systems.
机译:本文研究了相量测量单元(PMU)对虚假数据注入(FDI)攻击的脆弱性。先前的工作表明,可以通过基于低秩分解(LD)的检测器来识别无法绕过基于测量残差的传统不良数据检测器的FDI攻击。在这项工作中,介绍了捕获PMU数据的时间相关性的一类更为复杂的FDI攻击。这种攻击设计有一个凸优化问题,并且总是可以绕过LD检测器。在IEEE 24-bus RTS和IEEE 118-bus系统上都说明了此攻击模型的漏洞。

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