Assessment Methods of Network Resilience for Cyber-Human-Physical Systems

被引:11
作者
Duan, Sisi [1 ]
Ayyub, Bilal M. [2 ]
机构
[1] Univ Maryland, Dept Informat Syst, Baltimore, MD 21250 USA
[2] Univ Maryland, Dept Civil & Environm Engn, College Pk, MD 20742 USA
关键词
INTERDEPENDENT INFRASTRUCTURE SYSTEMS; ONLINE SOCIAL NETWORKS; CASCADING FAILURES; NATIONAL ENERGY; RISK ANALYSIS; METRO; VULNERABILITY; POLITICS; MODELS; IMPACT;
D O I
10.1061/AJRUA6.0001021
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Cyber-human-physical systems are deeply intertwined systems of physical components, cyber components, and human activities. Cyber components provide communication and control to the physical systems. In addition, human activities can affect or be affected by the behaviors of cyber and physical components. Modern critical infrastructures are a perfect example of such systems. Specifically, physical infrastructures (e.g., power grid, transportation) rely heavily on cyber infrastructures [e.g., supervisory control and data acquisition (SCADA) system] for control and monitoring. Also, humans interact with critical infrastructures in a complex way such that the resilience of critical infrastructures can be heavily affected by human activities. Indeed, critical infrastructures can suffer as a result of both large-scale events such as natural disasters and all kinds of other types of events such as cyber attacks and human operational errors. Therefore, the modeling and analysis of such complex systems are desirable. Such complex systems and their behavior can be modeled appropriately by networks for the purpose of assessing their key attributes, such as resilience. This paper provides an in-depth review of the network modeling and analysis approaches for cyber-human-physical systems. The focus of this paper is critical infrastructures, while the reviewed approaches can also be applied in other application domains. (C) 2019 American Society of Civil Engineers.
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页数:20
相关论文
共 188 条
[21]  
[Anonymous], 2013, MIT ASS TEAM REP HUR
[22]  
[Anonymous], 2017, 2017 IEEE MANCHESTER
[23]  
[Anonymous], P IND CONTR SYST SEC
[24]  
[Anonymous], 2011, Report Number EN-AR-10-001
[25]  
[Anonymous], PREPRINT
[26]  
[Anonymous], GURUKULAM INT J INNO
[27]  
[Anonymous], P GEOSHANGHAI INT C
[28]  
[Anonymous], TRANSP RES BOARD 97
[29]  
[Anonymous], HURR SAND NEW JERS N
[30]  
[Anonymous], DISASTER MANAGEMENT