文献类型：期刊文献

中文题名：关于多组件网络节点漏洞准确识别仿真

英文题名：Accurate Identification Simulation of Multi Component Network Node Vulnerability

作者：黄熙岱[1]

机构：[1]广东海洋大学数学与计算机学院

年份：2018

卷号：35

期号：7

起止页码：323

中文期刊名：计算机仿真

外文期刊名：Computer Simulation

收录：CSTPCD、、北大核心2017、北大核心

语种：中文

中文关键词：多组件;网络节点;漏洞识别

外文关键词：Multiple components;Network nodes;Vulnerability identification

中文摘要：对多组件网络节点漏洞进行准确识别,有利于节点漏洞的高效检测修补,提高多组件网络运行安全性。对多组件网络节点漏洞的准确识别,需要得到多组件网络节点漏洞属性特征集合,构建漏洞识别适应度函数,完成节点漏洞的准确识别。传统方法选取一组最好参数作为神经网络权值,构建网络节点漏洞识别模型,但忽略了对漏洞识别的适应度函数的求取,导致识别精度偏低。提出基于HIWO与SVM的多组件网络节点漏洞识别方法,通过知识约简提取网络节点漏洞属性特征,对连续的网络节点漏洞数值属性特征离散化过程进行控制,得到具有代表性的多组件网络节点漏洞属性特征集合;将节点漏洞检测正确率当作HIWO种子适应度函数,找到SVM最优参数值,构建网络节点漏洞识别模型。仿真表明,上述方法对节点漏洞特征向量的提取效果较为理想,可准确识别多组件网络节点漏洞,具有可实践性。

外文摘要：This article proposes a method for identifying node vulnerability of multi-component network based on HIWO and SVM. Based on knowledge reduction, this method extracted the attribute characteristic of network node vulnerability and controlled the consecutive discretization process of numerical attribute characteristic of network node vulnerability to get the representative set of multi-component network node vulnerability attribute characteristic. Then, the detection accuracy of node vulnerability was regarded as HIWO fitness function. Thus, the optimal parame- ters of SVM were found and the identification model of network node vulnerability was built. Simulation results show that the proposed method is effective for extracting feature vector of node vulnerability. Meanwhile, this method can accurately identify multi-component network node vulnerability, which is practicable.