Abstract:A classification method of software attack technique for automated modeling—POPDDA was proposed

since it’s difficult for existing software attack classification methods to satisfy the demand of the automated modeling. In this paper

firstly

by analyzing the necessary attribute information of software attack technique needed in the process of automated modeling

the classification was done. Besides

it evaluated the classification availability of POPDDA by Amoroso standard. Secondly

a corresponding attack knowledge base was built based on POPDDA and used it to create automated attack modeling. Finally

the modeling effectiveness was analyzed based on experimental. The experimental results showed that the POPDDA can match Amoroso standard and satisfied the requirements for the automated modeling

and also can solve inefficiencies and inaccuracy in manual modeling and avoided remodeling.