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Improved Resilience of Interdependent Critical Infrastructures via on-line Alerting System

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Detalhes bibliográficos
Resumo:This paper illustrates the activities under development within the FP7 EU MICIE project. The project is devoted to design and implement an on-line alerting system, able to evaluate, in real time, the level of risk of interdependent Critical Infrastructures (CIs). Such a risk is generated by undesired events and by the high level of interconnection of the different infrastructures. Heterogeneous models are under development to perform short term predictions of the Quality of Service (QoS) of each CI according to the QoS of the others, to the level of interdependency among the Infrastructures, and according to the undesired events identified in the reference scenario.
Autores principais:Capodieci, Paolo
Outros Autores:Diblasi, Stefano; Ciancamerla, Ester; Minichino, Michele; Foglietta, Chiara; Lefevre, Davide; Oliva, Gabriele; Panzieri, Stefano; Setola, Roberto; De Porcellinis, Stefano; Delli Priscoli, Francesco; Castrucci, Marco; Suraci, Vincenzo; Lev, Leonid; Shneck, Yosi; Khadraoui, Djamel; Aubert, Jocelyn; Iassinovski, Serguei; Jiang, Jianmin; Simoes, Paulo; Caldeira, Filipe; Spronska, Agnieszka; Harpes, Carlo; Aubigny, Matthieu
Assunto:Critical Infrastructures Distributed Interdependency Estimation Interdependency modeling Mixed Holistic Reductionistic
Ano:2010
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso restrito
Instituição associada:Instituto Politécnico de Viseu
Idioma:inglês
Origem:Repositório Científico do Instituto Politécnico de Viseu
Descrição
Resumo:This paper illustrates the activities under development within the FP7 EU MICIE project. The project is devoted to design and implement an on-line alerting system, able to evaluate, in real time, the level of risk of interdependent Critical Infrastructures (CIs). Such a risk is generated by undesired events and by the high level of interconnection of the different infrastructures. Heterogeneous models are under development to perform short term predictions of the Quality of Service (QoS) of each CI according to the QoS of the others, to the level of interdependency among the Infrastructures, and according to the undesired events identified in the reference scenario.