舰船计算机网络入侵最优路径推演模型构建

Establishment of optimal path estimation model for naval computer network intrusion

传统的网络入侵最优路径推演模型存在检测率低的问题,为了解决这个问题,提出舰船计算机网络入侵最优路径推演模型构建。将数据包存入规则库中进行特征匹配,在通过马氏距离判断法,对每一个网络分段内部的动态攻击图进行近似处理,并采用Beta分布的定位法,获取舰船计算机网络入侵最优路径,在完成上述操作后,将时间因素引入到模型中,实现舰船计算机网络入侵最优路径推演模型的构建。实验中以一个标准的实验网络为平台,为确保实验结果的可行性,采用脆弱性扫描工具对2种模型进行检测率对比实验,由对比实验结果可知,所提模型的检测率更高。

The traditional network intrusion optimal path deduction model has the problem of low detection rate.In order to solve this problem,the optimal path deduction model of warship computer network intrusion is proposed.The data package is stored in the rule base for feature matching,and the dynamic attack graph within each network segment is approximated by Mahalanobis distance judgment method.The Beta distribution location method is used to obtain the optimal route of computer network intrusion.After the above operation,the time factor is introduced into the model to realize the optimal route deduction of computer network intrusion.The construction of the model.In order to ensure the feasibility of the experimental results,a standard experimental network is used as the platform in the experiment.The vulnerability scanning tool is used to compare the detection rate of the two models.The comparison results show that the detection rate of the proposed model is higher.