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Analysis of system trustworthiness based on information flow noninterference theory

机译:基于信息流无干扰理论的系统可信度分析

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摘要

The trustworthiness analysis and evaluation are the bases of the trust chain transfer. In this paper the formal method of trustworthiness analysis of a system based on the noninterference (NI) theory of the information flow is studied. Firstly, existing methods cannot analyze the impact of the system states on the trustworthiness of software during the process of trust chain transfer. To solve this problem, the impact of the system state on trustworthiness of software is investigated, the run-time mutual interference behavior of software entities is described and an interference model of the access control automaton of a system is established. Secondly, based on the intransitive noninterference (INI) theory, a formal analytic method of trustworthiness for trust chain transfer is proposed, providing a theoretical basis for the analysis of dynamic trustworthiness of software during the trust chain transfer process. Thirdly, a prototype system with dynamic trustworthiness on a platform with dual core architecture is constructed and a verification algorithm of the system trustworthiness is provided. Finally, the monitor hypothesis is extended to the dynamic monitor hypothesis, a theorem of static judgment rule of system trustworthiness is provided, which is useful to prove dynamic trustworthiness of a system at the beginning of system construction. Compared with previous work in this field, this research proposes not only a formal analytic method for the determination of system trustworthiness, but also a modeling method and an analysis algorithm that are feasible for practical implementation.
机译:信任度分析与评估是信任链转移的基础。本文研究了一种基于信息流的无干扰(NI)理论的系统可信度分析的形式化方法。首先,现有方法无法在信任链转移过程中分析系统状态对软件可信性的影响。为了解决这个问题,研究了系统状态对软件可信度的影响,描述了软件实体在运行时的相互干扰行为,建立了系统访问控制自动机的干扰模型。其次,基于不传递不干扰理论,提出了一种正式的信任链转移可信度分析方法,为分析软件在信任链转移过程中的动态信任度提供了理论依据。第三,在双核架构的平台上构建了具有动态可信度的原型系统,并给出了系统可信度的验证算法。最后,将监控器假设扩展为动态监控器假设,提供了系统可信赖度静态判断规则的一个定理,对于在系统构建之初证明系统的动态可信赖性很有帮助。与该领域以前的工作相比,本研究不仅提出了确定系统可信度的形式化分析方法,而且提出了一种可以实际实施的建模方法和分析算法。

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