无线电网络信息中攻击信号路径识别仿真

摘要

对无线电网络信息中攻击信号路径进行准确识别,可以提高无线电网络安全性能.进行攻击信号路径识别时,需要计算攻击信号路径的脆弱性,获取网络攻击路径识别时间序列样本集,针对不同脆弱性的样本集进行训练,完成路径识别,而传统方法是通过建立攻击图模型,对网络信号攻击路径进行识别,不能计算攻击信号路径的脆弱性,无法有针对性的进行训练,导致进行路径识别的局限性大、效率低的问题.提出了改进攻击图的无线电网络信息中攻击信号路径优化识别方法.首先根据图论知识对传统方法组建攻击图进行改造,将脆弱性因子概念引入到组建改进的攻击图中,计算出改进攻击图各攻击路径的脆弱性,其次利用滑动时间窗口构造网络攻击路径识别时间序列样本集,利用Ada Boosting方法针对不同脆弱性的样本集进行训练,利用训练的结果获取无线电网络攻击路径识别回归矩阵,最后完成无线电网络信息中攻击信号路径识别.仿真结果表明,改进方法识别精确度高,可以有效地保障无线电网络平稳运行.%An optimization recognition method of attack signal path in wirelcss network is proposed based on modified attack graph.Firstly,the traditional attack graph is modified according to the graph theory knowledge.The vulnerability factor is introduced into the modified attack graph to work out the vulnerability of each attack path.Then the sliding time window is used to build time series sample set of recognition on network attack path.Moreover,the Ada Boosting method is used to train different vulnerability sample set.Finally,the result of training is used to obtain the regression matrix of attack path recognition in wireless network and the recognition on attack signal path is achieved.The simulation results show that the modified method has high recognition precision.It can ensure the smooth running of wireless network effectively.