Italiano (Italian) English (Inglese)
giovedì, 18 aprile 2024


Dettagli Pubblicazione
Autori:Daniele Codetta Raiteri
Luigi Portinale
Roberta Terruggia
Area Scientifica:Uncertain Reasoning
Probabilistic Graphical Models
Computer Security
Dependability and Reliability
Titolo:Decision Networks for modeling and analysis of attack/defense scenarios in critical infrastructures
Apparso su:Proceedings of the International Conference of the Florida Artificial Intelligence Research Society
Tipo Pubblicazione:Paper on Proceedings International Conference
Sommario:We propose to exploit Decision Networks (DN) for the analysis of attack/defense scenarios. We show that DN extend both the modeling and the analysis capabilities of formalisms based on Attack Trees, which are the main reference model in such a context. Uncertainty can be addressed at every system level and a decision-theoretic analysis of the risk and of the selection of the best countermeasures can be implemented, by exploiting standard inference algorithms on DN.