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Quantitative evaluation of attack/defense scenarios through Decision Network modelling and analysis

机译：通过决策网络建模和分析对攻击/防御场景进行定量评估

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We exploit Decision Networks (DN) for the analysis of attack/defense scenarios. 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. In particular, DN can naturally address uncertainty at every level, including the interaction level of attacks and countermeasures, making possible the modeling of situations which are not limited to Boolean combinations of events. Furthermore, inference algorithms can be exploited for a probabilistic analysis with the goal of assessing the risk and the importance of the attacks (with respect to specific sets of countermeasures), and selecting the optimal set (with respect to a specific objective function) of countermeasures to activate.
机译：我们利用决策网络（DN）来分析攻击/防御方案。 DN扩展了基于攻击树的形式主义的建模和分析功能，攻击树是这种情况下的主要参考模型。尤其是，DN可以自然地解决各个级别的不确定性，包括攻击和对策的交互级别，从而可以对不仅限于事件的布尔组合的情况进行建模。此外，可以将推理算法用于概率分析，其目的是评估攻击的风险和重要性（针对特定的对策集），并选择最佳的对策（针对特定的目标函数）。激活。

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