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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 the network security, a model of evaluating network security situation is designed, that is fuzzy analytic hierarchy process. At present, a set of systems conforming to current realities is proposed. The system includes three layers of trend indicators: decision-making layer, guideline layer and index layer. Then, using the best clustering and C-means (FCM) clustering criteria to solve the uncertainty of the assessment results and the data in the equilibrium situation assessment due to its ambiguity. Finally, the evaluation model of the situation is obtained by establishing the second-level multi-factor assessment model. It can be seen from the final simulation results that the newly established model is more accurate than the traditional situation-based assessment model based on the fuzzy hierarchy method. Some less weighted factors are also taken into account, making the standard deviation smaller .