An Attack Model Based on Both-Branch Fuzzy Logic and Fuzzy Petri Net
LU Qiu-qin, Guangqiu Huang · 2009
Based on both-branch fuzzy logic and fuzzy Petri net (FPN), a new network attack model named both-branch fuzzy logic Petri-net attack net (BBFPAN) is put forward; the promoting and suppressive factors to network attack are analyzed in this attack model. In order to make fine distinction between attack actions and effects, the process of attack and defense actions are depicted as places of FPN and system states are depicted as transitions. The changes of network attack states can be represented directly. Based the both-branch fuzzy logic analysis, a reasoning algorithm, which applies the incertitude consequence way, is proposed and the effectiveness of the algorithm is verified by experiment. This paper originally considers together the factors pro-and-con that have effect on network attack so that a closer network attack description to reality is made by this model.