|Authors:||Daniele Codetta Raiteri|
|Scientific Area:||Uncertain Reasoning|
|Probabilistic Graphical Models|
|Dependability and Reliability|
|Title:||Decision Networks for modeling and analysis of attack/defense scenarios in critical infrastructures|
|Published on:||Proceedings of the International Conference of the Florida Artificial Intelligence Research Society|
|Tipo Pubblicazione:||Paper on Proceedings International Conference|
|Abstract:||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.