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In the paper, a global network attack model based on Hierarchical Expanded Stochastic Petri Net (HESPN) is presented. The model is suitable for the cooperative attack simulation and can describe both macroscopic network attack and microcosmic host attack synthetically. The dissertation represents model generation algorithm and digs for potential attack relationships among hosts according to the definition of rough path. Then utilize ant colony algorithm to find k-critical vulnerable paths after expanding sub Petri net. By analyzing rough paths and accurate paths synthetically, a network risk evaluation method is proposed.

The Network Attack Model based on Hierarchical Expanded Stochastic Petri Net