Resilience Assessment of Interdependent Critical Infrastructure

Alsubaie, Abdullah; Alutaibi, Khaled; Martí, José

doi:10.1007/978-3-319-33331-1_4

Cited by 10 publications

(8 citation statements)

References 25 publications

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“…Alsubaie et al [31] observes that properties such as 'ability to recover' and 'ability to adapt' were incorporated in several definitions. Most of the proposed definitions include 'the ability to withstand' or 'absorb' a disturbance as a key attribute.…”

Section: Resiliencementioning

confidence: 99%

“…In their approach, Alsubaie et al [31] recognise that it is important to take into account the inherent interdependencies that exist among most of the modern CI. In this respect, proposed resilience concepts and measures need to incorporate CI dependencies, considering the cascade of a failure through multiple CIs, which offer different services to the community.…”

Section: Resiliencementioning

confidence: 99%

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Critical Infrastructures, Protection and Resilience

Setola

Luiijf

Theocharidou

2016

Managing the Complexity of Critical Infrastructures

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This chapter introduces the concept of Critical Infrastructure (CI). Although old civilisations had CI, the protection and resilience of CI has come to the fore again in the last two decades. The risk to society due to inadvertent and deliberate CI disruptions has largely increased due to interrelation, complexity, and dependencies of these infrastructures. The increased use of information and telecommunication technologies (ICT) to support, monitor, and control CI functionalities has contributed to this. The interest in CI and complex systems is strongly related to initiatives by several governments that from the end of the 90s of the previous century recognised the relevance of the undisturbed functioning of CI for the wellbeing of their population, economy, and so on. Their policies highlighted early the increasing complexity of CI and the challenges of providing such CI services without disruption, especially when accidental or malicious events occur. In recent years, most national policies have evolved following a direction from protection towards resilience. The need for this shift in perspective and these concepts are also analysed in this chapter.

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Section: Resiliencementioning

confidence: 99%

Section: Resiliencementioning

confidence: 99%

Critical Infrastructures, Protection and Resilience

Setola

Luiijf

Theocharidou

2016

Managing the Complexity of Critical Infrastructures

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“…Many publications established their control interval from curve milestones-e.g. 𝑡𝑡 𝑒𝑒 to 𝑡𝑡 𝑓𝑓 [65], [82], [111], [164], [171], [186], [188]- [191] or 𝑡𝑡 𝑠𝑠 to 𝑡𝑡 𝑓𝑓 [17]- [19], [50], [58], [144]. This approach is appropriate in some cases, such as recovery sequencing, but it should be avoided as a general practice.…”

Section: Notation Curve Milestones and Control Timesmentioning

confidence: 99%

“…Fully-normalized metrics varied in their specific formulation. While most publications adopted a global control time, others normalized to curve-specific [𝑡𝑡 𝑒𝑒 , 𝑡𝑡 𝑓𝑓 ] milestones [111], [164], [186], [190], [191]. Performance measures were either normalized by definition [35], [71]- [73], [78], in reference to the pre-disruption performance [111], [144], or relative to target performance curves [24], [59], [129], [132], [192], [193].…”

Section: Integral-based Metricsmentioning

confidence: 99%

Infrastructure resilience curves: Performance measures and summary metrics

Poulin

Kane

2021

Reliability Engineering & System Safety

114

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“…In the case, for example, of a "smart city", the recovery of the system of infrastructures after a natural disaster, cyber attack, or equipment failure should be managed in such a way that the most critical services are restored first. The overall objective in this application is to maximize the well-being of the citizens and this well-being can be mapped into a resilience index [13]. Figure 10 illustrates an example of a city where some basic infrastructures, electricity, water, and ICT have suffered damage and their delivered resources are limited.…”

Section: I2simmentioning

confidence: 99%

Phenomenological Simulators of Critical Infrastructures

Tofani

D’Agostino

Martí

2016

Managing the Complexity of Critical Infrastructures

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The objective of this chapter is to introduce and discuss the main phenomenological approaches that have been used within the CI M&S area. Phenomenological models are used to analyse the organizational phenomena of the society considering its complexity (finance, mobility, health) and the interactions among its different components. Within CI MA&S, different modelling approaches have been proposed and used as, for example, physical simulators (e.g. power flow simulators for electrical networks). Physical simulators are used to predict the behaviour of the physical system (the technological network) under different conditions. As an example, electrical engineers use different kind of simulators during planning and managing of network activities for different purposes: (1) power flow simulators for the evaluation of electrical network configuration changes (that can be both deliberate changes or results from of the effects of accidents and/or attacks) and contingency analysis, (2) real time simulators for the design of protection devices and new controllers. For the telecommunication domain one mat resort to network traffic simulators as for example ns2/ns3 codes that allow the simulation of telecommunication networks (wired/wireless) at packet switching level and evaluate its performances. Single domains simulators can be federated to analyse the interactions among different domains. In contrast, phenomenological simulators use more abstract data and models for the interaction among the different components of the system. The chapter will describe the main characteristic of some of the main simulation approaches resulting from the ENEA and UBC efforts in the CIP and Complexity Science field.

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Resilience Assessment of Interdependent Critical Infrastructure

Cited by 10 publications

References 25 publications

Critical Infrastructures, Protection and Resilience

Critical Infrastructures, Protection and Resilience

Infrastructure resilience curves: Performance measures and summary metrics

Phenomenological Simulators of Critical Infrastructures

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