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首页> 外文期刊>IEEE transactions on industrial informatics >Reliability Evaluation of Power Grids Considering Integrity Attacks Against Substation Protective IEDs
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Reliability Evaluation of Power Grids Considering Integrity Attacks Against Substation Protective IEDs

机译:考虑到变电站保护IED的完整性攻击,电网的可靠性评估

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摘要

Secure operation of protective intelligent electronic devices (IEDs) has been recognized as a crucial issue for power grids. By gaining access to substation IEDs, intruders can severely disrupt the operation of protection systems. This paper develops an analytical reliability assessment framework for quantifying the impacts of the hypothesized integrity attacks against protection systems. Petri net models are used to simulate possible intrusion scenarios into substation networks. The cyber network model is constructed from firewall, intrusion prevention system (IPS), and password models, which are three types of defense mechanisms for protecting substation networks. In this paper, two main types of attacker actions on protective devices are recognized: 1) sending breaker opening commands through IED connections; and 2) changing IED settings. In this regard, a multistate Markov model is proposed for identifying possible consequences of cyber attacks on the protective devices. In addition, this model captures the essential remedial actions that are taken after a successful cyber attack against target equipment. Subsequently, an analytical approach based on the introduced Markov model is proposed for assessing power system reliability. The proposed framework is implemented on the modified IEEE reliability test system, and its effectiveness is demonstrated through extensive case studies.
机译:保护智能电子设备(IED)的安全操作已被认为是电网的重要问题。通过获得进入变电站的IED,入侵者可以严重破坏保护系统的运行。本文开发了分析可靠性评估框架,用于量化假设的完整性攻击对保护系统的影响。 Petri净型用于模拟变电站网络的可能入侵情景。网络网络模型由防火墙,入侵防御系统(IPS)和密码型号构建,这是用于保护变电站网络的三种类型的防御机制。在本文中,识别保护装置上的两种主要类型的攻击者动作:1)通过IED连接发送断路器开启命令; 2)更改IED设置。在这方面,提出了一种多态马尔可夫模型,用于识别网络攻击对保护装置的可能后果。此外,该模型捕获了在成功的网络攻击反对目标设备之后采取的基本补救措施。随后,提出了一种基于推出的马尔可夫模型的分析方法,用于评估电力系统可靠性。所提出的框架在改进的IEEE可靠性测试系统上实施,通过广泛的案例研究证明了其有效性。

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