The uncertainty of electric power information optical network is very high,the current optical network security policy strengthening methods mostly by game model,unable to effectively cope with attack intention and strategy change,can not guarantee the reliability of the electric power information optical network.For this,a new model based on Markov offensive and defensive power of optical network information security policy reinforcement method was put forward.A optical network security strategy selection model was givesn,the power information was described by 7 elements group.Build Markov model of offensive and defensive,on the basis of electric power information form against the state transition diagram,optical network attack process based on observation of attack to get event to match against the state transition diagram,state based on the analysis of uncertain power information optical network belief state,the probability value is greater than the threshold value belief state state as the initial node,son get attack state transition diagram,detailed introduces the Markov process model of equilibrium solution.The experimental results show that the proposed method not only has high applicability,and treated with the method of electric power information optical network has a high reliability.%电力信息光网具有很高的不确定性,当前光网安全策略加固方法大多通过博弈模型实现,无法有效应对攻击意图与策略变化,不能保证电力信息光网的可靠性.为此,提出一种新的基于马尔可夫攻防模型的电力信息光网安全策略加固方法.给出电力信息光网安全策略选择模型,用7元组描述.构建马尔可夫攻防模型,依据电力信息光网攻击过程形成攻击状态转换图,依据攻击时获取的观察事件对攻击状态转换图进行匹配,在分析状态不确定的情况下获取电力信息光网信念状态,把概率值大于信念状态阈值的状态当成初始节点,得到攻击状态转换子图.详细介绍了马尔可夫攻防模型均衡求解过程.实验结果表明,所提方法不仅有很高的应用性,而且经该方法处理后的电力信息光网具有很高的可靠性.
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