使用代码度量度量机密性、完整性和可用性的影响得分

Anas Al-Far, A. Qusef, Sufyan Almajali
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引用次数: 7

摘要

机密性、完整性和可用性是构建任何安全软件的关键。在不同的软件开发阶段考虑安全原则可以减少软件漏洞。本文测量了不同软件质量度量对任何给定的面向对象的PHP应用程序的机密性、完整性或可用性的影响,该应用程序具有报告的漏洞列表。使用国家漏洞数据库为选定应用程序上报告的漏洞提供机密性、完整性和可用性方面的影响评分。本文包括对这些分数及其与给定易受攻击源代码的25个代码度量的相关性的研究。所取得的结果能够将23.7%的“完整性”可变性与四个指标相关联:代码中使用的词汇、卡片和数据库、智能内容和传出耦合指标。长度(Halstead度量)可以单独预测“可用性”中约24.2%的观察到的可变性。结果表明“机密性”与测试代码度量没有显著的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Impact Score on Confidentiality, Integrity, and Availability Using Code Metrics
Confidentiality, Integrity, and Availability are principal keys to build any secure software. Considering the security principles during the different software development phases would reduce software vulnerabilities. This paper measures the impact of the different software quality metrics on Confidentiality, Integrity, or Availability for any given object-oriented PHP application, which has a list of reported vulnerabilities. The National Vulnerability Database was used to provide the impact score on confidentiality, integrity, and availability for the reported vulnerabilities on the selected applications. This paper includes a study for these scores and its correlation with 25 code metrics for the given vulnerable source code. The achieved results were able to correlate 23.7% of the variability in ‘Integrity’ to four metrics: Vocabulary Used in Code, Card and Agresti, Intelligent Content, and Efferent Coupling metrics. The Length (Halstead metric) could alone predict about 24.2 % of the observed variability in ‘ Availability’. The results indicate no significant correlation of ‘Confidentiality’ with the tested code metrics.
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