A network flow model for interdependent infrastructures at the local scale

Holden, Richard; Val, Dimitri V.; Burkhard, Roland; Nodwell, Sarah

doi:10.1016/j.ssci.2012.08.013

Cited by 109 publications

(46 citation statements)

References 32 publications

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“…Such models only ensure flow continuity at nodes, while physical laws governing the flow of supplies within infrastructure systems are not fully satisfied. In [15] a new network flow model is introduced which has at its heart a general node model. Any number of different infrastructures can be conceived of as a single graph model that represents all systems composing the infrastructure, and incorporates infrastructural interdependencies.…”

Section: A Network Flow Modelmentioning

confidence: 99%

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Interdependencies modeling for the purpose of critical infrastructures protection

Chtioui

Baïna

Bellafkih

2015

2015 5th World Congress on Information and Communication Technologies (WICT)

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Critical Infrastructures are the systems that ensure the ease of use of crucial goods and services which are vital for the well-being of a society and the prosperity of an economy. However, the protection of these infrastructures is a difficult challenge, and must include many factors such as risks, resilience, control access, and interdependency. This paper focuses on Critical Infrastructures interdependencies. Thus networks are becoming tightly interdependent, especially for communication and computing systems that are firmly coupled with other networks, because of their current growing use and necessity for all sectors. Our objective is to study interdependencies in order to reduce their impacts and establish an effective procedure to prepare for future risks. This paper presents an overview on some modeling approaches and models used to analyze critical infrastructures interdependencies. Then it explains the idea of our future work that consists of conceiving application software to notify all nodes of interdependent networks of a failure emerging in a critical node, basing on the Implicative Interdependency Model.

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Section: A Network Flow Modelmentioning

confidence: 99%

“…Instead of supply and demand vertices, which are typical in the standard approach, the network flow model developed in [15] introduces additional processes of production, consumption and storage to the node. Moreover, a single node represents all these functions.…”

Section: A Network Flow Modelmentioning

confidence: 99%

Interdependencies modeling for the purpose of critical infrastructures protection

Chtioui

Baïna

Bellafkih

2015

2015 5th World Congress on Information and Communication Technologies (WICT)

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“…Agent-based approaches consider CIs as complex adaptive systems and represent their components as agents, with interdependencies usually emerging from the interactions of agents [9,10]. Network-based approaches generally assume that each CIS consists of a set of components (usually represented as nodes) forming a network, and any existing interdependency is represented as a type of relationship between nodes belonging to different networks [11,12]. There are also several other approaches: a few are based on various probabilistic methodologies (e.g., petri nets, stochastic activity networks and Bayesian networks) [13][14][15], some others are considering multi-layer modeling approaches, where infrastructures are seen at different layers and interactions between them are considered at different levels of granularity [16], and also some empirical approaches that analyze CI interdependencies according to historical accident or disaster data and expert experience [17].…”

Section: Introductionmentioning

confidence: 99%

Test System for Mapping Interdependencies of Critical Infrastructures for Intelligent Management in Smart Cities

et al. 2017

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Abstract. The critical infrastructures such as power distribution networks, water networks, transportation and telecommunication networks that are settled within the area of a city produce a large amount of data from applications such as AMI, SCADA, Renewable Energy Management Systems, Asset Management Systems, and weather data. To convert these massive data into useful information, visualization is an effective solution. Visualizing this large amount of data in a holistic view of critical infrastructures mapping at a city level is a missing link. Visualization means here to convert the flow of continuous coming data into useful information. . In this paper we propose a technique to visualize critical infrastructure data by using a system that consists of GIS (Geographic Information System) for buffer spatial analysis and Google Earth in sync with realistic planning and operation methodologies specific for each infrastructure modelled. The major goal of this work is to design, model and validate a benchmark system that is capable to visualize and map as well as to prepare the next inter-linking phase of modeling interdependencies of several critical infrastructures. Furthermore, we aim to provide the grounds for a theoretical framework that can capture the interdependencies between critical infrastructures using techniques from graph theory, machine learning, econometric science and operation research. The proposed framework for modeling the interdependencies between several infrastructures within a city territory is based on hybrid system automata and it is among the first steps needed in developing fundamental mechanisms for resilient management of critical infrastructures and the safe operation of smart cities. An example on how this framework can be applied is also presented.

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“…These research results allowed identifying the infrastructure that contributes most to cascading failure. Holden et al [3] used network model designed for interdependencies between infrastructure systems at different scales.…”

Section: Introductionmentioning

confidence: 99%