Application Research on Primary Components Analysis in Assessing Influential Factors of Campus Network Security

Zhiming Qu, Xiaoli Wang
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Abstract

Through mathematical analysis, the primary components analysis (PCA) is used to analyze the effect of influential factors on campus network security (CNS). Based on PCA model and, the results are computed. Through case study, it can be seen that some factors and characteristics play very important role in influencing CNS and all factors should be considered because the effect depends on the factors interaction. Through analysis and discussion, it is concluded that, under the premise of minimizing the information loss, the application of PCA in analyzing effect on CNS is approved to be practicable and applicable.
主成分分析在校园网安全影响因素评估中的应用研究
通过数学分析,采用主成分分析法(PCA)分析影响因素对校园网安全的影响。基于主成分分析模型,对结果进行了计算。通过案例研究可以看出,一些因素和特征在影响中枢神经系统中起着非常重要的作用,由于效果取决于因素的相互作用,因此需要考虑所有因素。通过分析和讨论,得出结论,在信息损失最小化的前提下,主成分分析对中枢神经系统的分析效果是可行和适用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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