基于不完全信息多阶段博弈的入侵路径预测

Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-20 Cooperative journals: 《计算机应用研究》

杨峻楠 张红旗 张传富 杨超

Abstract： The target network information which intruder learn will gradually increase in the intrusion process. According to the new information , intruder will find a better intrusion path than before and adjust strategy. This paper presented a method which can more accurately predict intrusion path. First, it established a dynamic defense graph based on hypergraph theory and proposed the method to update dynamic defense graph. Second, it established incomplete information multi-stage game model. Finally, it designed the dynamic defense graph path predictive algorithm based on game. The experiment gives a concrete example about the model of predicting intrusion path. The reasonableness and accuracy of the model are illustrated by the analysis of the example results.

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