A multi-perspective framework of analysis of critical infrastructures with respect to supply service, controllability and topology

Han, Fangyuan; Zio, Enrico

doi:10.1016/j.ijcip.2018.10.009

Cited by 12 publications

(6 citation statements)

References 58 publications

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“…The calculation of penalty factor values is performed according to Equation (7). The calculation of static asset penalty indices is performed according to Equation ( 5) and the calculation of dynamic asset penalty indices is performed according to Equation (6).…”

Section: Procedures For Reference Object Resilience Assessmentmentioning

confidence: 99%

“…Table 4 specifies the dynamic penalty factors and the calculation of the dynamic penalty index in the context of the specified course of the selected dynamic factors scenario activation. At the end of the table, the value of the selected asset dynamic penalty index for individual scenarios is calculated using equation (6).…”

Section: Specification Of Dynamic Penalty Factors and Calculation Of The Asset Dynamic Penalty Indexmentioning

confidence: 99%

“…This unique criticality is especially evident in the electricity subsector, on the supply of which all other critical infrastructure sectors are depend [4]. The importance of the energy sector is also evident in critical infrastructure systems on other continents, such as Europe [5], Asia [6] or Australia [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Resilience Assessment in Electricity Critical Infrastructure from the Point of View of Converged Security

2021

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In terms of service provision, the electricity sector is the most important critical infrastructure sector, on the supply of which the vast majority of society and its basic vital functions depend. Extensive disruption of these supplies would have negative effects not only on basic human needs, but also on the economy and security of the state. For this reason, it is necessary to ensure permanent and comprehensive monitoring of the infrastructure elements resilience level, especially against threats with a multispectral impact on several areas of security. For this reason, the authors of the article developed the Converged Resilience Assessment (CRA) method, which enables advanced assessment of the electricity critical infrastructure elements resilience from the converged security point of view. Converged security in this case combines (converges) physical, cyber and operational security into a complementary unit. This reflects the integral determinants of resilience across related areas of security/safety. The CRA method focuses mainly on information and situation management, which integrates and correlates information (signals) from systems and sensors in order to obtain an overview of the situation and the subsequent effective management of its solution. The practical use of the proposed method is demonstrated on a selected element of the Czech Republic transmission system. The CRA method is currently embodied in a functional sample that has been piloted on several TSO elements. Further development of this method is seen mainly in fulfilling the logic of network infrastructure and reflection between elementary and intersectoral links in the context of synergistic and cascading effects in a broader context.

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Section: Procedures For Reference Object Resilience Assessmentmentioning

confidence: 99%

Section: Specification Of Dynamic Penalty Factors and Calculation Of The Asset Dynamic Penalty Indexmentioning

confidence: 99%

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Resilience Assessment in Electricity Critical Infrastructure from the Point of View of Converged Security

2021

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“…The author discusses in depth the vulnerability, risk, and resilience concepts. Han and Zio [25] developed a framework to identify the most critical elements of a gas transmission network across several countries in the European Union from three different perspectives, i.e., supply service, controllability, and topology, and assessed the impact of failure. Simulation was used to perform analysis, and failure scenarios were generated using the ProGasNetwork software.…”

Section: Literaturementioning

confidence: 99%

An SNA-DEA Prioritization Framework to Identify Critical Nodes of Gas Networks: The Case of the US Interstate Gas Infrastructure

Storto

2019

Energies

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This paper presents a framework to identify critical nodes of a gas pipeline network. This framework calculates a set of metrics typical of the social network analysis considering the topological characteristics of the network. Such metrics are utilized as inputs and outputs of a (Data Envelopment Analysis) DEA model to generate a cross-efficiency index that identifies the most important nodes in the network. The framework was implemented to assess the US interstate gas network between 2013 and 2017 from both the demand and supply-side perspectives. Results emerging from the US gas network case suggest that different analysis perspectives should necessarily be considered to have a more in-depth and comprehensive view of the network capacity and performance.

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“…A multidimensional framework for the analysis of critical infrastructures in terms of supply services, topology, and manageability was proposed in [7]. The framework allows researchers to define the role of infrastructure elements and quantify the consequences of multiple failures of each specific element.…”

Section: Introductionmentioning

confidence: 99%

Determination of the Most Interconnected Sections of Main Gas Pipelines Using the Maximum Clique Method

2022

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This article is devoted to the definition of the most important combinations of objects in critical network infrastructures. This study was carried out using the example of the Russian gas transmission network. Since natural gas is widely used in the energy sector, the gas transmission network can be exposed to terrorist threats, and the actions of intruders can be directed at both gas fields and gas pipelines. A defender–attacker model was proposed to simulate attacks. In this model, the defender solves the maximum flow problem to satisfy the needs of gas consumers. By excluding gas pipelines, the attacker tries to minimize the maximum flow in the gas transmission network. Russian and European gas transmission networks are territorially very extensive and have a significant number of mutual intersections and redundant pipelines. Therefore, one of the approaches to inflicting maximum damage on the system is modeled as an attack on a clique. A clique in this study is several interconnected objects. The article presents the list of the most interconnected sections of main gas pipelines, the failure of which can cause the greatest damage to the system in the form of a gas shortage among consumers. Conclusions were drawn about the applicability of the maximum clique method for identifying the most important objects in network critical infrastructures.

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A multi-perspective framework of analysis of critical infrastructures with respect to supply service, controllability and topology

Cited by 12 publications

References 58 publications

Resilience Assessment in Electricity Critical Infrastructure from the Point of View of Converged Security

Resilience Assessment in Electricity Critical Infrastructure from the Point of View of Converged Security

An SNA-DEA Prioritization Framework to Identify Critical Nodes of Gas Networks: The Case of the US Interstate Gas Infrastructure

Determination of the Most Interconnected Sections of Main Gas Pipelines Using the Maximum Clique Method

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