计算机应用与软件2011，Vol.28Issue(1)：99-101,3.
基于RBF神经网络的攻防博弈模型
ATTACK-DEFENSE GAME MODEL BASED ON RBF NEURAL NETWORK
摘要
Abstract
In order to elucidate how to determine the types between game sides in the process of network attack and defense and then to choose the action strategy, the attack - defense game model based on RBF neural network is put forward. Firstly, the two - player stochastic game model is used to analyze the characteristics of offensive and defensive sides, to reveal the restrict factors of strategies selection. Then,the optimal strategies chosen by both sides can be got through perfect Bayesian Nash equilibrium. At last, the RBF neural network is adopted to reason out the types of the suspects according to their action strategies and system status.关键词
博弈模型/网络攻防/RBF神经网络引用本文复制引用
娄燕强,宋如顺,马永彩..基于RBF神经网络的攻防博弈模型 [J].计算机应用与软件,2011,28(1):99-101,3.基金项目
国家"211工程"建设项目(181070H901). （181070H901）
