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Mitigating Denial-of-Service attacks in wide-area LQR control

机译:缓解广域LQR控制中的拒绝服务攻击

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In this work we study the impacts of Denial-of-Service (DoS) attacks on the cyber-physical implementation of wide-area control. The controller is desgined as a Linear Quadratic Regulator (LQR) for damping power flow oscillations. We first derive a nominal mathematical model of the power system network considering a delay-aware LQR controller without any DoS. Thereafter, we model how DoS enters the closed-loop dynamics of this system by considering the Hadamard product of the LQR gain matrix with a matrix of attacked links. We propose two mitigation strategies to compensate for the loss of missing states in the feedback path, and test their effectiveness against three variables of interest - namely, location of attack, time of attack, and duration of attack. We design a decision tree classifier for each strategy based on these parameters to predict the severity of an attack. The results are illustrated with a DoS simulation on the standard IEEE 4-machine Kundur model.
机译:在这项工作中,我们研究了拒绝服务(DoS)攻击对广域控制的网络物理实施的影响。该控制器被设计为线性二次调节器(LQR),用于抑制潮流振荡。我们首先考虑没有任何DoS的具有延迟意识的LQR控制器,得出电力系统网络的标称数学模型。此后,我们通过考虑LQR增益矩阵与攻击链接矩阵的Hadamard乘积,为DoS如何进入该系统的闭环动力学建模。我们提出了两种缓解策略,以补偿反馈路径中丢失状态的丢失,并针对三个感兴趣的变量(即攻击的位置,攻击的时间和攻击的持续时间)测试其有效性。我们基于这些参数为每种策略设计决策树分类器,以预测攻击的严重性。在标准IEEE 4机Kundur模型上通过DoS仿真说明了结果。

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