scholarly journals Resilience-Based Component Importance Measures for Critical Infrastructure Network Systems

2016 ◽  
Vol 65 (2) ◽  
pp. 502-512 ◽  
Author(s):  
Yi-Ping Fang ◽  
Nicola Pedroni ◽  
Enrico Zio
Keyword(s):  
Critical Infrastructure ◽  
Network Systems ◽  
Component Importance ◽  
Infrastructure Network

scholarly journals Identifying Sensitive Components in Infrastructure Networks via Critical Flows

2019 ◽  
Author(s):  
James Williams
Keyword(s):  
Reliability Analysis ◽  
Critical Infrastructure ◽  
Urban Systems ◽  
Centrality Measures ◽  
Critical Flow ◽  
Infrastructure Networks ◽  
Component Importance ◽  
Infrastructure System ◽  
Critical Components ◽  
The Impact

This paper introduces a novel set of component importance measures that are based on the concept of critical flow. Various research communities have developed techniques for identifying critical components of networks. The methods in this paper extend previous work on flow-based centrality measures by adapting them to the assessment of critical infrastructure in urban systems. The motivation is to provide municipalities with a means of reasoning about the impact of urban interventions. An infrastructure system is represented as a flow network in which demand nodes are assigned both demand values and criticality ratings. Sensitive elements in the network are those that carry critical flows, where a flow is deemed critical to the extent that it satisfies critical demand. A method for computing these flows is presented, and its utility is demonstrated by comparing the new measures to existing flow centrality measures. The paper also shows how the method may be combined with standard approaches to reliability analysis.

Conceptualization of a Critical Infrastructure Network – Model for Flood Risk Assessments

2021 ◽  
Author(s):  
Roman Schotten ◽  
Daniel Bachmann
Keyword(s):  
Risk Analysis ◽  
Flood Risk ◽  
Critical Infrastructure ◽  
Risk Mitigation ◽  
Mitigation Measures ◽  
Critical Infrastructures ◽  
Flood Exposure ◽  
Infrastructure Network ◽  
Flood Risk Analysis ◽  
De Bruijn

<p><span>In flood risk analysis it is a key principle to predetermine consequences of flooding to assets, people and infrastructures. Damages to critical infrastructures are not restricted to the flooded area. The effects of directly affected objects cascades to other infrastructures, which are not directly affected by a flood. Modelling critical infrastructure networks is one possible answer to the question ‘how to include indirect and direct impacts to critical infrastructures?’.</span></p><p>Critical infrastructures are connected in very complex networks. The modelling of those networks has been a basis for different purposes (Ouyang, 2014). Thus, it is a challenge to determine the right method to model a critical infrastructure network. For this example, a network-based and topology-based method will be applied (Pant et al., 2018). The basic model elements are points, connectors and polygons which are utilized to resemble the critical infrastructure network characteristics.</p><p>The objective of this model is to complement the state-of-the-art flood risk analysis with a quantitative analysis of critical infrastructure damages and disruptions for people and infrastructures. These results deliver an extended basis to differentiate the flood risk assessment and to derive measures for flood risk mitigation strategies. From a technical point of view, a critical infrastructure damage analysis will be integrated into the tool ProMaIDes (Bachmann, 2020), a free software for a risk-based evaluation of flood risk mitigation measures.</p><p>The data on critical infrastructure cascades and their potential linkages is scars but necessary for an actionable modelling. The CIrcle method from Deltares delivers a method for a workshop that has proven to deliver applicable datasets for identifying and connecting infrastructures on basis of cascading effects (de Bruijn et al., 2019). The data gained from CIrcle workshops will be one compound for the critical infrastructure network model.</p><p>Acknowledgment: This work is part of the BMBF-IKARIM funded project PARADes (Participatory assessment of flood related disaster prevention and development of an adapted coping system in Ghana).</p><p>Bachmann, D. (2020). ProMaIDeS - Knowledge Base. https://promaides.myjetbrains.com</p><p>de Bruijn, K. M., Maran, C., Zygnerski, M., Jurado, J., Burzel, A., Jeuken, C., & Obeysekera, J. (2019). Flood resilience of critical infrastructure: Approach and method applied to Fort Lauderdale, Florida. Water (Switzerland), 11(3). https://doi.org/10.3390/w11030517</p><p>Ouyang, M. (2014). Review on modeling and simulation of interdependent critical infrastructure systems. Reliability Engineering and System Safety, 121, 43–60. https://doi.org/10.1016/j.ress.2013.06.040</p><p>Pant, R., Thacker, S., Hall, J. W., Alderson, D., & Barr, S. (2018). Critical infrastructure impact assessment due to flood exposure. Journal of Flood Risk Management, 11(1), 22–33. https://doi.org/10.1111/jfr3.12288</p>

Economic Impact of Cyber Attacks on Critical Infrastructures

2019 ◽  
pp. 291-314
Author(s):  
Merve Şener
Keyword(s):  
Economic Impact ◽  
Critical Infrastructure ◽  
Cyber Attacks ◽  
Economic Losses ◽  
Critical Infrastructures ◽  
Cyber Attack ◽  
Network Systems ◽  
Financial Losses

Critical infrastructures ensure that activities that are vital and important for individuals can be safely delivered to the society uninterruptedly. The damage on these critical infrastructures caused by cyber-attacks whose control is carried out through computers and network systems is very large. Cyber-attacks directly or indirectly affect companies, institutions, and organizations economically and cause great financial losses. In this chapter, two different categories, energy and finance sector, which are described as critical infrastructure, are discussed; cyber-attacks carried out on these sectors, cyber-attack weapons, and economic losses caused by these attacks are examined.

Emergency Strategy of Civic Critical Infrastructure to the Urgent Events

2011 ◽  
Vol 317-319 ◽  
pp. 2091-2096
Author(s):  
Zhi Li Wu ◽  
Xiao Liu
Keyword(s):  
Critical Infrastructure ◽  
Supply And Demand ◽  
Mathematic Model ◽  
Critical Infrastructures ◽  
Network Systems ◽  
Single Node ◽  
Infrastructure Systems ◽  
Networked System ◽  
Cascading Effect ◽  
Coupling Characteristic

Abstract. Civic critical infrastructure systems have become an inter-connected networked system due to the all kinds of interdependencies. Under the circumstance of emergent events, disruption or failure of one system may lead to the cascading effect on other interdependent systems. We develop a mathematic model based on supply and demand relation of multi-network systems considering the coupling characteristic of critical infrastructures when emergent events happen. The model can offer the emergency strategy to the urgent accident by analyzing events chain after single node fails. The numerical results indicate the approach taken in this research can break through the limit of conventional emergency strategy within single system of dispatching standby products as inventory and to better optimize the total loss of the whole networked system.

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