Critical Infrastructures (CIs) are complex system of systems due to the existence of interdependencies that are not readily visible but very often play a central role. Hence, modelling and simulating networks of critical infrastructures is a crucial point to support operators and service providers in mitigating risks. In this chapter we describe how a general approach, called Mixed Holistic Reductionist, is able to join a holistic impact evaluation with a reductionist modelling of cascade effects in order to integrate situation assessment and interdependency evaluation. This approach can be realized using two different symbiotic techniques: a vertical simulation of a specific behaviour of an infrastructure and an interdependency agent-based simulator able to take into account cascading effects along several interdependency links.

Critical Infrastructures (CIs) are complex system of systems due to the existence of interdependencies that are not readily visible but very often play a central role. Hence, modelling and simulating networks of critical infrastructures is a crucial point to support operators and service providers in mitigating risks. In this chapter we describe how a general approach, called Mixed Holistic Reductionist, is able to join a holistic impact evaluation with a reductionist modelling of cascade effects in order to integrate situation assessment and interdependency evaluation. This approach can be realized using two different symbiotic techniques: a vertical simulation of a specific behaviour of an infrastructure and an interdependency agent-based simulator able to take into account cascading effects along several interdependency links.

Foglietta, C., Panzieri, S., Pascucci, F. (2015). Algorithms and Tools for Risk/Impact Evaluation in Critical Infrastructures. In E.a.P. Kyriakides (a cura di), Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems (pp. 227-238). Springer Verlag [10.1007/978-3-662-44160-2_8].

Algorithms and Tools for Risk/Impact Evaluation in Critical Infrastructures

FOGLIETTA, CHIARA;PANZIERI, Stefano;PASCUCCI, Federica
2015-01-01

Abstract

Critical Infrastructures (CIs) are complex system of systems due to the existence of interdependencies that are not readily visible but very often play a central role. Hence, modelling and simulating networks of critical infrastructures is a crucial point to support operators and service providers in mitigating risks. In this chapter we describe how a general approach, called Mixed Holistic Reductionist, is able to join a holistic impact evaluation with a reductionist modelling of cascade effects in order to integrate situation assessment and interdependency evaluation. This approach can be realized using two different symbiotic techniques: a vertical simulation of a specific behaviour of an infrastructure and an interdependency agent-based simulator able to take into account cascading effects along several interdependency links.
978-3-662-44159-6
978-3-662-44160-2
Critical Infrastructures (CIs) are complex system of systems due to the existence of interdependencies that are not readily visible but very often play a central role. Hence, modelling and simulating networks of critical infrastructures is a crucial point to support operators and service providers in mitigating risks. In this chapter we describe how a general approach, called Mixed Holistic Reductionist, is able to join a holistic impact evaluation with a reductionist modelling of cascade effects in order to integrate situation assessment and interdependency evaluation. This approach can be realized using two different symbiotic techniques: a vertical simulation of a specific behaviour of an infrastructure and an interdependency agent-based simulator able to take into account cascading effects along several interdependency links.
Foglietta, C., Panzieri, S., Pascucci, F. (2015). Algorithms and Tools for Risk/Impact Evaluation in Critical Infrastructures. In E.a.P. Kyriakides (a cura di), Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems (pp. 227-238). Springer Verlag [10.1007/978-3-662-44160-2_8].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/161147
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