A Framework for Cyber-Physical Model Creation and Evaluation

A Framework for Cyber-Physical Model Creation and Evaluation
复制标题

网络物理模型创建和评估框架

DOI:
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发表时间:
2019
期刊:
International Symposium on Antennas and Propagation
影响因子:
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通讯作者:
S. Zonouz
S. Zonouz
中科院分区:
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文献类型:
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作者:
A. Sahu;Hao Huang;K. Davis;S. Zonouz

文献摘要

被引文献

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在电力系统中,网络物理模型可以在突发事件排名中发挥重要作用,通过识别最重要的突发事件来帮助运营商制定网络相关突发事件的预防计划。基于攻击树和图、故障树、马尔可夫状态空间等的多种网络物理模型已经被提出,并且正在根据具体目标进行研究开发。然而,在现实世界中部署模型之前,有必要根据其计算瓶颈、可扩展性和准确性来评估模型的性能。因此,本文介绍了一种基于软件的模型比较框架,使研究人员能够改进他们的模型,并根据现有模型评估新模型。此外,我们还介绍了两个针对应急和关键资产排名的网络物理建模引擎的算法;基于攻击图分析(AGA)和马尔可夫决策过程(MDP)并比较它们的性能。这些模型针对三种不同的用例进行了评估:IEEE-24、CyPSA 8 变电站和 IEEE-300 系统,评估了 MDP 大小、生成计算时间、攻击路径数量等网络物理模型参数。该框架不仅使我们能够设计和验证模型,而且还为全球研究人员测试新模型提供了一个平台。此外,还开发了一个应用程序,用于通过单线图以及意外事件和关键资产的排名进行可视化。
In power systems, a cyber-physical model can play a significant role in contingency ranking to assist operators with preventive plans for cyber-related contingencies by identifying the most significant ones. Diverse cyber-physical models based on attack trees and graphs, fault trees, Markov state-space etc. have been proposed and are being developed by researches depending on specific objective. However, prior to the deployment of the models in real world, it is essential to evaluate the performance based on their computational bottlenecks, scalability and accuracy. This paper thus introduces a software-based model comparison framework that allows researchers to improve their models and also evaluate new models against existing ones. Additionaly, we present the algorithms of two cyber-physical modeling engines targeted for contingency and critical assets ranking; based on Attack Graph Analysis (AGA) and Markov Decision Process (MDP) and compare their performance. The models are evaluated for three different use cases: IEEE-24, CyPSA 8-substation, and IEEE-300 systems on cyber-physical model parameters such as MDP size, computation time of generation, number of attack paths, etc. This framework will not only allow us to design and validate models but also provide a platform to researches worldwide to test new models. Further an application is developed for visualization with one-line diagram and ranking of contingencies and critical assets.