中国科学院重庆绿色智能技术研究院机构知识库

QQ客服 官方微博 反馈留言

	A Quantitative Risk Assessment Model for Distribution Cyber-Physical System Under Cyberattack
	Deng, Song1; Zhang, Jiantang2; Wu, Di3,4; He, Yi5; Xie, Xiangpeng1; Wu, Xindong6
	2023-03-01
摘要	An accurate and comprehensive risk assessment in a distribution cyber-physical system (DCPS) is essential to ensure its smooth operation, effective control, and exposure of hidden dangers and security implications. Unfortunately, prior risk assessment methods are mostly limited in two aspects. First, the current studies do not respect the complex network topology and intertwined devicewise dependencies, thereby failing to delineate and model the risk propagation mechanism in DCPS accurately. Second, the prior work tends to focus on gauging the risks underlying physical systems independently, overlooking the quantification of risk impact on physical systems incurred by the cyberattack. To fill the gap, in this article, we propose a unified risk assessment model that gauges the comprehensive security implication of DCPS in a Bayesian regime, in which the three key components, namely, the prior probability, posterior probability, and minimum load-loss ratio, are calculated via the cumulative densities, epidemic model, and optimal load shedding, respectively. We benchmark our proposed model on a public testbed, IEEE 39-bus system, with extensive experiments. The results substantiate the viability and effectiveness of our model and suggest that the vulnerability of DCPS is positively correlated with the three components in our Bayesian modeling. We hope this finding can shed some light on future research by providing a plausible apparatus for measuring the security implications of physical systems in DCPS under cyberattacks.
关键词	Risk management Security Load modeling Cyberattack Mathematical models Distribution networks Bayes methods distribution cyber-physical system (DCPS) infectious disease model load loss risk assessment
DOI	10.1109/TII.2022.3169456
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN	1551-3203
卷号	19期号:3页码:2899-2908
通讯作者	Wu, Di(wudi.cigit@gmail.com)
收录类别	SCI
WOS记录号	WOS:000966749300001
语种	英语