State-of-the-Art Reviews
Oct 22, 2019

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

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 6, Issue 1

Abstract

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.

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ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 6Issue 1March 2020

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Published online: Oct 22, 2019
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Discussion open until: Mar 22, 2020

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Sisi Duan, Ph.D. [email protected]
Assistant Professor, Dept. of Information Systems, Univ. of Maryland, Baltimore County, MD 21250 (corresponding author). Email: [email protected]
Bilal M. Ayyub, Ph.D., Dist.M.ASCE [email protected]
P.E.
Professor, Dept. of Civil and Environmental Engineering, Univ. of Maryland, College Park, MD 20742. Email: [email protected]

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