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 |
Pagine: | 24-27 |
Editore: | AAAI |
Anno: | 2014 |
Tipo Pubblicazione: | Paper on Proceedings International Conference |
URL: | http://www.aaai.org/ocs...AIRS14/paper/view/7778/7800 |
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.
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