摘要
为了进一步的提高网络安全性,设计了一种网络安全态势的评估模型即模糊层次分析法。介于目前网络的大幅度使用扩散,首先提出了一套符合当前现实情况的体系,这一体系包括三层态势指标:决策层、准则层和指标层;然后使用最佳聚类和C-均值(FCM)聚类准则来解决由于其模糊性造成评估结果的误差以及平衡态势评估中的数据的不确定性;最后完成多因素二级评估模型的建立获得态势的评估向量。从最后的仿真结果中可以看出,新建立的模型比传统的的基于模糊层次法的态势评估模型的结果更为准确,一些权重较小的因素也被考虑在内,使得标准差更小了。
In order to further improve network security,designed a network security situation assessment model that is fuzzy AHP.Currently significantly between using a diffusion network,first proposed a set of line with the current realities of the system,the system comprises three trend indicators： decision-making,rule layer and index layer; and using the best mean clustering and C-（ FCM） clustering criteria to resolve because of its ambiguity creates uncertainty error of assessment of the situation assessment and the balance of the data; the finalization of the establishment of two multi-factor assessment model for situational assessments vector.As can be seen from the last simulation results,the establishment of a new model based on the results of a traditional trend of Fuzzy AHP evaluation model is more accurate than some of the smaller weighting factors are also taken into account,so that even smaller standard deviation.
出处
《自动化与仪器仪表》
2016年第10期159-160,163,共3页
Automation & Instrumentation
