软件可信度度量模型的稳定性

Lewen Zhang, Yong Zhou, Yixiang Chen, Min Zhang, Juyang Zhang
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引用次数: 11

摘要

软件的可信度是保证网络物理系统安全的重要特征。因此,如何对软件的可信度进行评估是关键问题。Tao最近在他的博士论文和他的出版物中给出了基于软件属性的五种软件可信度度量模型。用蒙特卡罗方法对这些模型进行仿真后,我们发现这些模型都有一个共同的缺点,即可信度与所有属性值的取值范围不在同一范围内。为了解决这一问题,本文引入了稳定性规则,并以此为基础提出了软件可信度度量模型。根据这些规律,本文在陶氏模型的基础上提出了两个模型。随后的数学证明和仿真表明,这些模型符合所有规则。在软件可信度量与评价工具中,将这两个模型应用于软件可信程度的计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stability of Software Trustworthiness Measurements Models
The software trustworthiness is an important feature for the safety and security of cyber-physical system. Therefore, how to assess software trustworthiness is the key issue. Tao has recently given five measurement models of software trustworthiness based on the attributes of software in his Doctoral Dissertation and his publications. After simulating these models with the Monte Carlo method, we find out that these models have a common shortcoming that the trustworthy degree would not be within the same range as the range in which all attributes' values are. In order to solve this problem, this paper introduces the stability rule with which measurement model of software trustworthiness is proposed. According to these rules, this paper proposes two models which are originally based on Tao's models. The succeeding mathematical proof and simulation demonstrate that these models meet all the rules. These two models have been applied to compute the degree of software trustworthiness in the software trustworthy measurement and evaluation tool.
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