Simulation-based characterisation of critical infrastructure system resilience

Petrenj, Boris; Trucco, Paolo

doi:10.1504/ijcis.2014.066366

Cited by 7 publications

(10 citation statements)

References 28 publications

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“…Thanks to the implementation of a functional model of the regional infrastructural system a systematic vital node analysis has been carried out (Trucco, Cagno, & De Ambroggi, 2012) and returned a ranking list of most critical nodes and clusters of nodes. The functional model is also normally used to support scenario analysis (Cagno, De Ambroggi & Trucco, 2011) and to evaluate resilience strategies (Petrenj & Trucco, 2014) proposed by specific Thematic Task Forces (TTF).…”

Section: Mapping Of Emergency Management Processes and Vital Node Anamentioning

confidence: 99%

Resilience of Critical Infrastructures: Benefits and Challenges from Emerging Practices and Programmes at Local Level

Trucco

Petrenj

2017

NATO Science for Peace and Security Series C: Environmental Security

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Since the beginning of 2010 there has been a boom of Public-Private Partnerships (PPPs) with a goal of Critical Infrastructure Protection and Resilience (CIP-R) and Emergency Management (EM) in North America and partly in Europe and Australia as well. Currently having PPPs as one of the main ways to cope with CI interdependencies through engaging all stakeholders in order to build 'full-spectrum' resilience, it is important to look up to the best practices. Previous research has set the theoretical base of PPPs and claimed their high potential for enhancing CIP-R that is vastly unexploited due to challenges in their establishment and management. It is now necessary to move forward to studying partnerships' practical side -common issues they face, ways to overcome them and concrete benefits they are able to bring. Through studying seven cases, this work compares different PPP approaches and their contribution to CIP-R. The study demonstrates how challenges are faced and solved in an innovative way and how the benefits are reached. It also shows approaches and joint activities that support information sharing and trust building as the main ingredients that hold partners together and enable progress in other aspects, from which both public and private parties may benefit. Starting from the findings and a subsequent analysis within and between the seven cases, the study proposes a framework for the development of regional CIP-R. programmes in the context of a PPP.

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Section: Mapping Of Emergency Management Processes and Vital Node Anamentioning

confidence: 99%

Resilience of Critical Infrastructures: Benefits and Challenges from Emerging Practices and Programmes at Local Level

Trucco

Petrenj

2017

NATO Science for Peace and Security Series C: Environmental Security

Self Cite

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“…Here, system vulnerability and severity of the consequences due to loss of network performance were considered. Consequently, the resilience index was introduced, made up of three components: (1) Robustness, (2) Resourcefulness, and (3) Recovery (Petrenj and Trucco 2014).…”

Section: Resiliencementioning

confidence: 99%

“…Among the model features are the specification of vulnerable nodes; those that are homogeneous, service self-providing, and vulnerable. They are connected to create intra-and interinfrastructure interdependencies (Petrenj and Trucco 2014). Also, Specification of threat nodes characterized by time-variant intensity and specific impact potential on different vulnerable nodes.…”

Section: Resiliencementioning

confidence: 99%

“…The model was then applied to the Lombardy region (Italy), and an event that took place was remodeled (a large snowfall event) in order to explore how the model reflects this occurrence, and explore infrastructure improvements. The analysis was then carried out for the two phases, with Phase 1 simulating the behavior of the system by imposing a value of functional integrity equal to zero to a single node, and Phase 2 multiple nodes were varied in order to study the demand shift (Petrenj and Trucco 2014). Finally, the paper concluded that effective strategies for system resilience include identifying clusters of interdependent nodes on which to implement resilient measures concurrently.…”

Section: Resiliencementioning

confidence: 99%

“…Another technique is prioritization, as it is not feasible to apply measures to the entire system, and therefore, it is necessary to prioritize activities, carefully target response efforts and act on selected nodes. Thirdly, it is proposed to allocate additional resources intelligently so that they can be utilized in the most efficient and beneficial manner (Petrenj and Trucco 2014).…”

Section: Resiliencementioning

confidence: 99%

See 2 more Smart Citations

A Simulation-Based Approach to the Characterisation of Urban Traffic Network Vulnerability

Snobar¹

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This research employs modeling methodologies to obtain a better understanding of urban traffic network vulnerability. A methodological framework is presented, forming the basis for investigating critical dimensions affecting vulnerability. The focus is on the Central Business District (CBD) network type. The three dimensions; Centrality, Flowability, and Mobility are analyzed through the employment of traffic models. Mesoscopic and microscopic simulations are performed to obtain required data, then used for the construction of the Combined Vulnerability Index (CVI), representing the network friability. Next, the unique links making up the network are closed sequentially, and simulations are carried out for each scenario in order to obtain the link network influence for each of the links. The (% Effect) value is then obtained from the difference in traffic flow across the network, and multiplied by the CVI to obtain the adjusted vulnerability index (ACVI). The methodology is then applied to the Ottawa network.

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A performance-based tabular approach for joint systematic improvement of risk control and resilience applied to telecommunication grid, gas network, and ultrasound localization system

et al. 2021

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Organizational and technical approaches have proven successful in increasing the performance and preventing risks at socio-technical systems at all scales. Nevertheless, damaging events are often unavoidable due to a wide and dynamic threat landscape and enabled by the increasing complexity of modern systems. For overall performance and risk control at the system level, resilience can be a versatile option, in particular for reducing resources needed for system development, maintenance, reuse, or disposal. This paper presents a framework for a resilience assessment and management process that builds on existing risk management practice before, during, and after potential and real events. It leverages tabular and matrix correlation methods similar as standardized in the field of risk analysis to fulfill the step-wise resilience assessment and management for critical functions of complex systems. We present data needs for the method implementation and output generation, in particular regarding the assessment of threats and the effects of counter measures. Also included is a discussion of how the results contribute to the advancement of functional risk control and resilience enhancement at system level as well as related practical implications for its efficient implementation. The approach is applied in the domains telecommunication, gas networks, and indoor localization systems. Results and implications are further discussed.

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Simulation-based characterisation of critical infrastructure system resilience

Cited by 7 publications

References 28 publications

Resilience of Critical Infrastructures: Benefits and Challenges from Emerging Practices and Programmes at Local Level

Resilience of Critical Infrastructures: Benefits and Challenges from Emerging Practices and Programmes at Local Level

A Simulation-Based Approach to the Characterisation of Urban Traffic Network Vulnerability

A performance-based tabular approach for joint systematic improvement of risk control and resilience applied to telecommunication grid, gas network, and ultrasound localization system

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