Mining intelligence data in the benefit of critical infrastructures security: vulnerability modelling, simulation and assessment, system of systems engineering

Gheorghe, Adrian V.; Vamanu, Dan V.

doi:10.1504/ijsse.2008.018142

Cited by 15 publications

(6 citation statements)

References 2 publications

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“…Finally, a need for a more 'sociosphere' view of the world coupled with the nature of systems and their environment, suggests a need to see system 'wholes' rather than system parts and a more systemic view of the world is "based on an understanding of our fundamental interconnectedness and interdependence, with each other and with all of life" [21] (p. 430). A more succinct characterization of the operating landscape for the 21st century systems is provided [2]:…”

Section: The Nature Of the Operating Landscape For 21st Century Complmentioning

confidence: 99%

“…The operating landscape for systems in the 21st century is characteristically ambiguous, emergent, and uncertain. These characteristics affect the capacity and performance of engineered systems/enterprises including critical systems (e.g., energy and transportation) upon which society must depend [1][2][3][4][5]. In response, there are increasing calls for multidisciplinary approaches capable of confronting the elements of ambiguity, emergence, and uncertainty.…”

Section: Introductionmentioning

confidence: 99%

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A Governance Perspective for System-of-Systems

Katina

Keating

Bobo

et al. 2019

Systems

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The operating landscape of 21st century systems is characteristically ambiguous, emergent, and uncertain. These characteristics affect the capacity and performance of engineered systems/enterprises. In response, there are increasing calls for multidisciplinary approaches capable of confronting increasingly ambiguous, emergent, and uncertain systems. System of Systems Engineering (SoSE) is an example of such an approach. A key aspect of SoSE is the coordination and the integration of systems to enable ‘system-of-systems’ capabilities greater than the sum of the capabilities of the constituent systems. However, there is a lack of qualitative studies exploring how coordination and integration are achieved. The objective of this research is to revisit SoSE utility as a potential multidisciplinary approach and to suggest ‘governance’ as the basis for enabling ‘system-of-systems’ coordination and integration. In this case, ‘governance’ is concerned with direction, oversight, and accountability of ‘system-of-systems.’ ‘Complex System Governance’ is a new and novel basis for improving ‘system-of-system’ performance through purposeful design, execution, and evolution of essential metasystem functions.’

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Section: The Nature Of the Operating Landscape For 21st Century Complmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Governance Perspective for System-of-Systems

Katina

Keating

Bobo

et al. 2019

Systems

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“…Recent work in this area (Gheorghe and Vamanu, 2009) generalizes the concept of resiliency in relation to critical infrastructures (e.g. energy infrastructures) by introducing cooperative systems models for quantitative vulnerability assessment for interdependent complex structures.…”

Section: Cooperative Energy Security: Resilient Energy Systemsmentioning

confidence: 99%

“…Let S(i), i = 1, 2, …, M be the variable qualifying the functionality of part i, S(i)= 1 indicating a functional part and S(i) = −1 a dysfunctional part -which accommodates systems within the Ising model as observed in the preceding section (Gheorghe, Vamanu, 2008). Let S(i), i = 1, 2, …, M be the variable qualifying the functionality of part i, S(i)= 1 indicating a functional part and S(i) = −1 a dysfunctional part -which accommodates systems within the Ising model as observed in the preceding section (Gheorghe, Vamanu, 2008).…”

Section: The Things In Depth IImentioning

confidence: 99%

Energy Security

2011

NATO Science for Peace and Security Series C: Environmental Security

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“…In this paper, we present a methodological work that embraces a system-of-systems (SoS) framework of analysis [Gheorghe and Vamanu, 2008;Eusgeld et al, 2011;Kröger and Zio, 2011;Tsilipanos et al, 2013] and propose a Hierarchical Graph representation to evaluate the robustness of interdependent CIs, measured by its capability to deliver the required amount of product (e.g., energy, water, etc. ) to the demand nodes of the infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the robustness of critical infrastructures by Hierarchical Graph representation, clustering and Monte Carlo simulation

Ferrario

Pedroni

Zio

2016

Reliability Engineering & System Safety

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In this paper, we present a methodological work that adopts a system-of-systems (SoS) viewpoint for the evaluation of the robustness of interdependent critical infrastructures (CIs). We propose a Hierarchical Graph representation, where the product flow is dispatched to the demand nodes in consideration of different priorities. We use a multi-state model to describe different degrees of degradation of the individual components, where the transitions between the different states of degradation occur stochastically. The quantitative evaluation of the CIs robustness is performed by Monte Carlo simulation. The methodological approach proposed is illustrated by way of two case studies: the first one concerns small-sized gas and electricity networks and a supervisory control and data acquisition (SCADA) system; the second one considers a moderately large power distribution network, adapted from the IEEE 123 node test feeders. The large size of the second case study requires hierarchical clustering for performing the robustness analysis

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Mining intelligence data in the benefit of critical infrastructures security: vulnerability modelling, simulation and assessment, system of systems engineering

Cited by 15 publications

References 2 publications

A Governance Perspective for System-of-Systems

A Governance Perspective for System-of-Systems

Energy Security

Evaluation of the robustness of critical infrastructures by Hierarchical Graph representation, clustering and Monte Carlo simulation

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