A Matrix Model to Analyze Cascading Failure in Critical Infrastructures

Gueye, Assane; Mbaye, Babacar; Fall, Doudou; Diop, A; Kashihara, Shigeru

doi:10.1007/978-3-030-51051-0_15

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…(Grafenauer et al, 2018) "CIs are defined as systems and assets, whether physical or virtual, so vital to the nation that their incapacity or destruction would have a debilitating impact on the nation's existence." (Gueye et al, 2020) "CIs are large-scale engineered physical structures underpinning every aspect of a modern society. Prominent among them are electric power systems, telecommunication systems, the internet infrastructure, gas and oil production, storage and transportation systems, transportation infrastructure, water-supply systems, and others.…”

Section: Tablementioning

confidence: 99%

“…According to the definitions found on the concept of CIs, it was possible to understand that the concept is divided into two types of assets, namely cyber/virtual assets and physical assets (Balducelli et al, 2008;Gueye et al, 2020;Wang et al, 2018). Another important concept related to CIs is the concept of Resilience.…”

Section: Definitions and Relations Among The Identified Concepts Conc...mentioning

confidence: 99%

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A Domain Ontology on Cascading Effects in Critical Infrastructures based on a Systematic Literature Review

Santoro

Silva

Fernandes

et al. 2022

IJCIS

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Critical infrastructures (CIs) are crucial assets for society and the economy, as they are responsible for providing essential goods and services. The interdependence between CIs makes them vulnerable to large-scale cascading disasters that can significantly impact society. Cascading effects in CIs are thus a worthy area of study and research, with considerable interests in terms of resilience and risk management. In this paper, a domain ontology of cascading effects was developed using the systematic approach to ontology construction (SaBiO) methodology, which provides guidelines for developing domain ontologies. A systematic literature review (SLR) was used to obtain information, an essential part of the first phase of SaBiO. This research identified the main concepts in the domain of cascading effects. Additionally, the relations between the concepts were also identified, which were formalised in the proposed ontology. Besides the proposed ontology, a small analysis of the domain of the cascading effects was also performed. The ontology proposed was also validated using real cases of cascading effects events from an organisation.

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Section: Tablementioning

confidence: 99%

Section: Definitions and Relations Among The Identified Concepts Conc...mentioning

confidence: 99%

A Domain Ontology on Cascading Effects in Critical Infrastructures based on a Systematic Literature Review

Santoro

Silva

Fernandes

et al. 2022

IJCIS

View full text Add to dashboard Cite

show abstract

“…Likewise, derivatives of Graph Theory in the context of the topological analysis, such as matrix-based system modelling representation (Adjacency matrix) and Network Analysis and Design Structure Matrix (DSM) visualize the system components and interactions as graphical nodes and lines [ 46 , 47 ]. This intuitive model reduces the complexity of the analysis process and contributes to improving the understanding of operators [ 48 ].…”

Section: Related Workmentioning

confidence: 99%

Identifying and Analyzing Dependencies in and among Complex Cyber Physical Systems

Akbarzadeh

Katsikas

2021

Sensors

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Contemporary Critical Infrastructures (CIs), such as the power grid, comprise cyber physical systems that are tightly coupled, to form a complex system of interconnected components with interacting dependencies. Modelling methodologies have been suggested as proper tools to provide better insight into the dependencies and behavioural characteristics of these complex systems. In order to facilitate the study of interconnections in and among critical infrastructures, and to provide a clear view of the interdependencies among their cyber and physical components, this paper proposes a novel method, based on a graphical model called Modified Dependency Structure Matrix (MDSM). The MDSM provides a compact perspective of both inter-dependency and intra-dependency between subsystems of one complex system or two distinct systems. Additionally, we propose four parameters that allow the quantitative assessment of the characteristics of dependencies, including multi-order dependencies in large scale CIs. We illustrate the workings of the proposed method by applying it to a micro-distribution network based on the G2ELAB 14-Bus model. The results provide valuable insight into the dependencies among the network components and substantiate the applicability of the proposed method for analyzing large scale cyber physical systems.

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A Matrix Model to Analyze Cascading Failure in Critical Infrastructures

Cited by 2 publications

References 6 publications

A Domain Ontology on Cascading Effects in Critical Infrastructures based on a Systematic Literature Review

A Domain Ontology on Cascading Effects in Critical Infrastructures based on a Systematic Literature Review

Identifying and Analyzing Dependencies in and among Complex Cyber Physical Systems

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