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A survey on cyber attacks against nonlinear state estimation in power systems of ubiquitous cities

机译:普遍城市电力系统中的网络攻击对网络攻击的调查

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It is well-known that critical infrastructures would be targets for cyber attacks. In this paper, we focus on the power systems (i.e. smart grids) in ubiquitous cities, where every meter is linked to an information network through wireless networking. In a smart grid system, information from smart meters would be used to perform a state estimation in real time to maintain the stability of the system. A wrong estimation may lead to disastrous consequences (e.g. suspension of electricity supply or a big financial loss). Unfortunately, quite a number of recent results showed that attacks on this estimation process are feasible by manipulating readings of only a few meters. In this paper, we focus on nonlinear state estimation which is a more realistic model and widely employed in a real power grid environment. We category cyber attacks against nonlinear state estimation, and review the mechanisms behind. State-of-the-art security measures to detect these attacks are discussed via sensor protection. Hope that the community would be able to come up with a secure system architecture for ubiquitous cities. (C) 2017 Elsevier B.V. All rights reserved.
机译:众所周知,关键基础设施将是网络攻击的目标。在本文中,我们专注于普遍存在的城市的电力系统(即智能电网),其中每个仪表通过无线网络连接到信息网络。在智能电网系统中,来自智能仪表的信息将用于实时执行状态估计以保持系统的稳定性。错误的估计可能导致灾难性的后果(例如,暂停电力供应或大财务损失)。不幸的是,最近的一些结果表明,通过操作只有几米的读数,对该估计过程的攻击是可行的。在本文中,我们专注于非线性状态估计,这是一种更现实的模型,并且广泛采用实际电网环境。我们分类网络攻击非线性状态估计,并审查后面的机制。通过传感器保护讨论了检测这些攻击的最先进的安全措施。希望社区能够为无处不在的城市提出安全的系统架构。 (c)2017 Elsevier B.v.保留所有权利。

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