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Cyber-Physical Interdependencies in Power Plant Systems: A Review of Cyber Security Risks

机译:电厂系统中的网络物理相互依赖性:对网络安全风险的综述

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Realizing the importance of the concept of “smart city” and its impact on the quality of life, many infrastructures, such as power plants, began their digital transformation process by leveraging modern computing and advanced communication technologies. Unfortunately, by increasing the number of connections, power plants become more and more vulnerable and also an attractive target for cyber-physical attacks. The analysis of interdependencies among system components reveals interdependent connections, and facilitates the identification of those among them that are in need of special protection. In this paper, we review the recent literature which utilizes graph-based models and network-based models to study these interdependencies. A comprehensive overview, based on the main features of the systems including communication direction, control parameters, research target, scalability, security and safety, is presented. We also assess the computational complexity associated with the approaches presented in the reviewed papers, and we use this metric to assess the scalability of the approaches.
机译:实现“智能城市”概念的重要性及其对生命质量的影响,许多基础设施(如发电厂)开始通过利用现代计算和先进的通信技术开始其数字转型过程。不幸的是,通过增加连接的数量,发电厂变得越来越脆弱,也是网络物理攻击的有吸引力的目标。系统组件之间的相互依存性的分析揭示了相互依存的联系,并有助于识别需要特殊保护的人。在本文中,我们审查了最近的文献,它利用基于图形的模型和基于网络的模型来研究这些相互依赖性。展示了全面的概述,基于包括通信方向,控制参数,研究目标,可扩展性,安全性和安全性的系统的主要特征。我们还评估与审查的论文中提出的方法相关的计算复杂性,并且我们使用该度量来评估方法的可扩展性。

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