Trust and Trustworthy Computing
Trust and Trustworthy Computing
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信任和可信计算
DOI：
10.1007/978-3-642-30921-2_15
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Namiluko C
中科院分区：
文献类型：
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作者：
Namiluko C
建立信任需要有证据证明系统有能力按预期运行。然而，这一证据的性质及其在信任评估中的表现和使用仍然是一个悬而未决的问题。目前收集这些证据的机制，如TCG完整性模式，不支持这些证据的联系，因此限制了可以验证的属性类型。我们认为，来源提供了更全面的证据，可以以一种简化信任评估的方式表示。为此，我们提出了基于出处的模型来推理系统满足感兴趣的信任属性的能力。这种方法支持互操作性，支持多种抽象，并支持对不同的信任属性进行评估。将其应用于验证可信域平台的特性，验证了该方法的可行性和灵活性。
Trust establishment requires evidence about the system’s ability to operate as expected. However, the nature of this evidence and its representation and usage in trust evaluation still remains an open problem. Current mechanisms for collecting this evidence, such as the TCG integrity schema, do not support the linkage of this evidence and therefore limit the kinds of properties that can be verified. We argue that provenance provides more comprehensive evidence that can be represented in a manner that eases trust evaluation. Towards this end, we propose aprovenance-basedmodel for reasoning about a system’s ability to satisfy trust properties of interest. This approach enables interoperability, supports multiple abstractions and enables evaluation of varying trust properties. Its application on verifying properties of platforms for use in a trust domain demonstrate its feasibility and flexibility.