基于层次分析法的Web应用漏洞模糊度量方法

Mohammad Shojaeshafiei
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引用次数: 1

摘要

在检测Web应用程序的漏洞方面已经进行了大量的研究;然而,他们从未提出一种方法来定性或定量地衡量这些漏洞。本文提出了一种量化Web应用程序漏洞的方法。我们应用目标问题度量(GQM)方法来确定运输部(DOT)中Web应用程序的所有可能的安全因素和子因素,作为我们的概念证明。在此基础上,提出了一种基于层次分析法(AHP)中安全子因素优先级划分的多层模糊逻辑方法。在模糊逻辑量化前,采用层次分析法对各个安全子因子进行加权,以解决脆数计算不精确的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analytic Hierarchy Process-based Fuzzy Measurement to Quantify Vulnerabilities of Web Applications
Much research has been conducted to detect vulnerabilities of Web Applications; however, these never proposed a methodology to measure the vulnerabilities either qualitatively or quantitatively. In this paper, a methodology is proposed to investigate the quantification of vulnerabilities in Web Applications. We applied the Goal Question Metrics (GQM) methodology to determine all possible security factors and subfactors of Web Applications in the Department of Transportation (DOT) as our proof of concept. Then we introduced a Multi-layered Fuzzy Logic (MFL) approach based on the security sub-factors’ prioritization in the Analytic Hierarchy Process (AHP). Using AHP, we weighted each security sub-factor before the quantification process in the Fuzzy Logic to handle imprecise crisp number calculation.
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