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• W2734349129 abstract "RESUME : Les infrastructures critiques sont les actifs physiques qui fournissent aux societes modernes les services et besoins necessaires pour le bon fonctionnement d’activites sociales et economiques essentielles. L'importance de ces infrastructures complexes est largement reconnue et la necessite de proteger ces reseaux contre des evenements destructifs—intentionnels ou accidentels—attire l'attention de plusieurs chercheurs et experts en securite. Il est egalement bien reconnu que le cout et les efforts associes a la protection totale representent un enorme defi. La societe realisera son plus grand retour sur investissement en identifiant, en priorisant et en protegeant strategiquement les actifs les plus vulnerables de son portefeuille d'infrastructures. Cela implique la necessite d'une methodologie de selection permettant de cibler les actifs les plus cruciaux et de mesurer efficacement la vulnerabilite globale d'un reseau donne, ce qui nous permettra d'evaluer les niveaux de risque actuels et d'evaluer les ameliorations techniques proposes. Le travail a suivre tente de mesurer la robustesse des systemes d'infrastructures critiques en utilisant une approche basee sur les consequences, evaluant la fonctionnalite de ces reseaux suite a la survenance d'un evenement destructeur. Pour ce faire, des applications empiriques de deux approches differentes—une premiere utilisant la methodologie fondee sur la theorie des reseaux et une deuxieme methodologie, propose pour la premiere fois, fondee sur l'entropie—ont ete realisees sur les reseaux de transport d'electricite des quatre plus grandes provinces canadiennes en utilisant l'information disponible dans le domaine public. Notre enquete sur les similitudes entre ces deux methodologies distinctes n’a fourni aucune similarite definitive lors de la comparaison de la vulnerabilite des provinces, mesuree selon les differentes approches, mais a eclairee des avenues prometteuses pour de la recherche future.----------ABSTRACT : Critical infrastructure systems are the physical assets that provide modern societies with the fundamental resources required to conduct essential economic and social operations, from power and electricity to drinking water and telecommunications. The crucial importance of these vast, complex and ubiquitous infrastructures is widely acknowledged and as such, the necessity to protect these networks from destructive events—both intentional and accidental—has garnered the attention of researchers and security experts alike. Similarly, it is also well recognized that the cost and effort associated with total protection presents an enormous challenge. Society will achieve its greatest return on investment by correctly identifying, prioritizing and protecting the most vulnerable assets in its infrastructure portfolio. This implies the need for a screening methodology by which we can target the most crucial assets, and effective metrics with which to gauge the vulnerability of a given network as a whole, allowing us to assess risk levels and evaluate proposed or completed engineering changes. The following work studies the robustness of critical infrastructure systems using a consequence-based framework, assessing the functionality of networks conditional on some destructive event having taken place. In order to do so, empirical applications of two different approaches—the network theory-based methodology and a novel entropy-based methodology—were carried out on the electrical transmission networks of the four largest Canadian provinces, using information available in the public domain. Our attempt to investigate the similarities between the separate methodologies failed to provide any meaningful consistencies when comparing provinces’ robustness according to the different grading schemes, but did provide promising avenues for future research." @default.
• W2734349129 created "2017-07-21" @default.
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• W2734349129 date "2016-12-01" @default.
• W2734349129 modified "2023-09-26" @default.
• W2734349129 title "Measures of Critical Infrastructure Vulnerability to Destructive Events" @default.
• W2734349129 hasPublicationYear "2016" @default.
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