Resilience Assessment of Critical Infrastructures: From Accidental to Malicious Threats

Author(s):  
Mohamed Kaâniche
Buildings ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 464
Author(s):  
Dan Guo ◽  
Ming Shan ◽  
Emmanuel Kingsford Owusu

During the past two decades, critical infrastructures (CIs) faced a growing number of challenges worldwide due to natural disasters and other disruptive events. To respond to and handle these disasters and disruptive events, the concept of resilience was introduced to CIs. Particularly, many institutions and scholars developed various types of frameworks to assess and enhance CI resilience. The purpose of this paper is to review the resilience assessment frameworks of the CIs proposed by quality papers published in the past decade, determine and analyze the common dimensions and the key indicators of resilience assessment frameworks of CIs, and propose possible opportunities for future research. To achieve these goals, a comprehensive literature review was conducted, which identified 24 resilience assessment frameworks from 24 quality papers. This paper contributes to the current body of resilience research by identifying the common dimensions and the key indicators of the resilience assessment frameworks proposed for CIs. In addition, this paper is beneficial to the practice, because it provides a comprehensive view of the resilience assessment frameworks of CIs from the perspective of implementation, and the indicators are pragmatic and actionable in practice.


Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7575
Author(s):  
Ali Nouri Qarahasanlou ◽  
Ali Zamani ◽  
Abbas Barabadi ◽  
Mahdi Mokhberdoran

The resilience of a system can be considered as a function of its reliability and recoverability. Hence, for effective resilience management, the reliability and recoverability of all components which build up the system need to be identified. After that, their importance should be identified using an appropriate model for future resource allocation. The critical infrastructures are under dynamic stress due to operational conditions. Such stress can significantly affect the recoverability and reliability of a system‘s components, the system configuration, and consequently, the importance of components. Hence, their effect on the developed importance measure needs to be identified and then quantified appropriately. The dynamic operational condition can be modeled using the risk factors. However, in most of the available importance measures, the effect of risk factors has not been addressed properly. In this paper, a reliability importance measure has been used to determine the critical components considering the effect of risk factors. The application of the model has been shown through a case study.


2021 ◽  
Vol 13 (3) ◽  
pp. 54-70
Author(s):  
Blazho Nastov ◽  
Daouda Kamisoko ◽  
Vincent Chapurlat

Critical infrastructures provide services that are essential to the functioning and well-being of society. Failure to provide these services is unacceptable. This is a problem when considering the unpredictable nature of the environment (leading to crisis, natural disasters, terrorist attacks) and internal failures. The concern is even greater due to the interconnected and interdependent nature of critical infrastructures, which might lead to failure propagation, causing domino and cascade effects. The resilience of a system is the ability to reduce the magnitude and/or duration of disruptive events or their consequences, allowing a satisfactory level of performance and quality of services. Improving critical infrastructures' resilience before any disruption occurs can reassure society's vital needs. The goal of the paper is to define an improved decision support method for resilience by combining resilience assessment and multi-viewpoint modeling methods.


2019 ◽  
Author(s):  
Shaul Kimhi ◽  
Yohanan Eshel ◽  
Mooli Lahad ◽  
Dimitry Leykin

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