可信网络攻击形式智能预测方法仿真

摘要

An intelligent prediction method for attack form of trusted network based on Kalman wave is proposed.The grey relation theory is used to classify alarm events based on attack form and several subclasses are marked off based on attack form in each large class,then multi-step attack expression of each attack based on attack form is obtained.The distribution mapping for coefficient of grey correlation degree of each factor sequence of network attack is carried out and the risk value of attack of mainframe is calculated.In addition,the state expression equation of the attack form based on Kalman wave is built.Thus,the intelligent prediction is completed.Simulation proves that the proposed method has high prediction precision.It lays foundation for ensuring stable operation of trusted network.%为了保障可信网络的稳定运行,需要进行可信网络攻击形式智能预测方法的研究.但是采用当前方法进行攻击预测时,无法预测出攻击者实际的攻击形式,存在攻击预测误差大的问题.为解决上述问题,提出一种基于卡尔曼波的可信网络攻击形式智能预测方法.上述方法先利用灰色关联理论对基于攻击形式的报警事件进行分类,在每个大类中划分出若干个基于攻击形式的子类,得到攻击者每次攻击的基于攻击形式的复合攻击表述,对网络攻击各因子序列的灰关联度系数进行分布映射,计算主机的攻击风险值,组建基于卡尔曼波的可信网络攻击形式状态表述方程,完成对可信网络攻击形式智能预测.仿真证明,所提方法预测精度高,为保障可信网络的稳定运行奠定了基础.