Network Attack Model Based on Hierarchical Expanded Stochastic Petri Net
Wang Chunzi · Jisuanji gongcheng · 2011
Aiming at shortcomings that current network attack models can not be efficiently suitable for complicated network systems,a global network attack model based on the hierarchical expanded Stochastic Petri Net(SPN) is presented.The model can describe both macroscopic network attack and microcosmic host attack synthetically,and is very suitable for the cooperative attack simulation.It can solve efficiently the network states space explosion problem.Based on the model,the model generation algorithm is represented and potential attack relationships among hosts are dug for according to the definition of rough attack path.The Ant Colony Algorithm(ACA) is utilized to find k-critical vulnerable paths after expanding sub Petri net.By analyzing rough attack paths and accurate attack paths synthetically,a network risk evaluation method is proposed.