Resilience Measurement Index: An Indicator of Critical Infrastructure Resilience

Petit, Frédéric; Bassett, G. W.; Black, Ryan A.; Buehring, W.A.; Collins, Michael J.; Dickinson, D. C.; Fisher, Ronald E.; Haffenden, R.A.; Huttenga, A.A.; Klett,; Phillips, Julia; Thomas, Melanie B.; Veselka, S.N.; Wallace, Kelly; Whitfield, R. G.; Peerenboom, J.P.

doi:10.2172/1087819

Cited by 64 publications

(37 citation statements)

References 3 publications

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“…Fig. ): The phases of managing an event in relation to the capacities of the system presented above (National Academy of Sciences, 2012; Petit et al., ): ex ante ( planning/preparation ), during the event ( absorption ), or ex post ( recovery and adaptation ). They correspond to the phases in which infrastructure managers have the opportunity to increase resilience by reducing vulnerability or the level of risk (McDaniels, Chang, Cole, Mikawoz, & Longstaff, ).…”

Section: Literature Review: Methodology and First Lessonsmentioning

confidence: 99%

“…Resilience is a term for which many definitions exist. They generally include different capacities (Bruneau et al., ; Francis & Bekera, ; Johnsen & Veen, ; Labaka, Hernantes, & Sarriegi, ; Matzenberger, Hargreaves, Raha, & Dias, ; National Academy of Sciences, 2012; Petit et al., ; Rosati, Flynn Touzinsky, & Lillycrop, ; Vugrin, Warren, Ehlen, & Camphouse, ): to plan and prepare for the adverse events ( planification ), to reduce the impact of events ( absorption or resistance ), to minimize the time to recovery ( recovery ), and to evolve through the development of specific processes ( adaptability ). Aggregation at a higher level was proposed by Holling, who distinguished engineering resilience, which he linked to the capacity of resistance and the speed of return to a state of equilibrium, and ecological resilience, which he associated with adaptability (Holling, ).…”

Section: Introductionmentioning

confidence: 99%

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Resilience of Critical Infrastructures: Review and Analysis of Current Approaches

Curt¹,

Tacnet

2018

Risk Analysis

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In crisis situations, systems, organizations, and people must react and deal with events that are inherently unpredictable before they occur: vital societal functions and thus infrastructures must be restored or adapted as quickly as possible. This capacity refers to resilience. Progress concerning its conceptualization has been made but it remains difficult to assess and apply in practice. The results of this article stem from a literature review allowing the analysis of current advances in the development of proposals to improve the management of infrastructure resilience. The article: (i) identifies different dimensions of resilience; (ii) highlights current limits of assessing and controlling resilience; and (iii) proposes several directions for future research that could go beyond the current limits of resilience management, but subject to compliance with a number of constraints. These constraints are taking into account different hazards, cascade effects, and uncertain conditions, dealing with technical, organizational, economical, and human domains, and integrating temporal and spatial aspects.

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Section: Literature Review: Methodology and First Lessonsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resilience of Critical Infrastructures: Review and Analysis of Current Approaches

Curt¹,

Tacnet

2018

Risk Analysis

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“…For example, the Infrastructure Assurance Center at Argonne National Laboratory, in partnership with the Protective Security Coordination Division of the U.S. DHS, has developed the Resilience Measurement Index (RMI) to characterize the resilience of critical infrastructures (Petit et al, 2013). RMI was valued from 0 (low resilience) to 100 (high resilience), thereby providing resilience comparisons for critical infrastructures and guiding prioritization for improving resilience.…”

Section: Quantificationmentioning

confidence: 99%

System resilience enhancement: Smart grid and beyond

Huang¹,

Wang²,

Chen³

et al. 2017

Front. Eng

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Boosting the resilience of power systems is a core requirement of smart grids. In fact, resilience enhancement is crucial to all critical infrastructure systems. In this study, we review the current research on system resilience enhancement within and beyond smart grids. In addition, we elaborate on resilience definition and resilience quantification and discuss several challenges and opportunities for system resilience enhancement. This study aims to deepen our understanding of the concept of resilience and develop a wide perspective on enhancing the system resilience for critical infrastructures.

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“…Delays in observing, orienting, deciding, acting, assessing, and updating resilience posture are quantifiable in discrete time units, δ. [Petit, 2013] uses the term "Resilience Index" to describe the state of critical physical infrastructures. We favor resilience posture for information systems because it connotes a stable metric, but one that can be adjusted through a combination of management decisions, configuration changes, and emerging understanding of the hazard space more rapidly than changing a static physical infrastructure like a rail network.…”

Section: Resilience Posture (ρ)mentioning

confidence: 99%

“…This work acknowledges that a subset of the metrics on the list would be selected by an organization for use in a resilience assessment process. [Bodeau, 2013] provides a qualitative cyber-resilience assessment process, while [Petit, 2013] provides a hierarchical value modeling methodology for quantifying Resilience Index in critical infrastructure.…”

Section: Introduction and Surveymentioning

confidence: 99%

Value Modeling for Enterprise Resilience

Henderson

Lancaster

2015

INCOSE International Symp

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The idea that resilience is a tangible, measureable, and desirable system attribute has grown rapidly over the last decade beyond is origins in explaining ecological, physiological, psychological, and social systems. Operational enterprise resilience requires two types of measurement. First, the system must monitor various operational conditions in order to respond to disruptions. These measurements are part of one or more observation, orientation, decision, and action (OODA) loops The OODA control processes that implement a resilience strategy use these measurements to provide robustness, rapid recovery and reconstitution. In order to assess the effectiveness of the resilience strategy, a different class of measurements is necessary. This second type consists of measurements about how well the OODA processes cover critical enterprise functions and the hazards to which the enterprise is exposed. They allow assessment of how well enterprise management processes anticipate, mitigate, and adapt to a changing environment and the degree to which the system is fault tolerant. This paper nominates a theoretical framework, in the form of definitions, a model, and a syntax, that accounts for this important distinction, and in so doing provides a mechanism for bridging resilience management process models and the many proposed cyber-defense metric enumerations.

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Resilience Measurement Index: An Indicator of Critical Infrastructure Resilience

Cited by 64 publications

References 3 publications

Resilience of Critical Infrastructures: Review and Analysis of Current Approaches

Resilience of Critical Infrastructures: Review and Analysis of Current Approaches

System resilience enhancement: Smart grid and beyond

Value Modeling for Enterprise Resilience

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