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arXiv 2106.04885cs.CRcs.DC
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基于区块链的可验证交互的信任管理框架

A Blockchain-Based Trust Management Framework with Verifiable Interactions

Shantanu Pal, Ambrose Hill, Tahiry Rabehaja, Michael Hitchens

摘要:

通过使用分析(例如,信念理论和贝叶斯模型),逻辑(例如,认知和主观逻辑)和其他数学模型。信任度量的选择将取决于上下文、环境和用户需求,并且没有一个在所有情况下都使用的最佳度量。在不同用户需要采用不同信任度量的情况下,信任得分计算仍应基于所有可用的信任证据。信任通常是使用过去的经验来计算的,但在实践中(特别是在集中式系统中),这些经验的有效性和准确性是理所当然的。在本文中,我们提供了一个正式的框架和实用的基于区块链的实现,允许独立的信任提供者以分布式方式实现不同的信任度量,同时仍然允许所有信任提供者基于一组公共的信任证据进行计算。此外,我们的设计允许体验被证明与交互相关联,而不需要中央权威。这导致了基于证据的信任与可证明的相互作用的概念。利用区块链,信任提供商可以以竞争的方式提供服务,收取费用,同时为用户提供记录体验的付款。提供了区块链实现的性能细节。

英文摘要:

There has been tremendous interest in the development of formal trust models and metrics through the use of analytics (e.g., Belief Theory and Bayesian models), logics (e.g., Epistemic and Subjective Logic) and other mathematical models. The choice of trust metric will depend on context, circumstance and user requirements and there is no single best metric for use in all circumstances. Where different users require different trust metrics to be employed the trust score calculations should still be based on all available trust evidence. Trust is normally computed using past experiences but, in practice (especially in centralised systems), the validity and accuracy of these experiences are taken for granted. In this paper, we provide a formal framework and practical blockchain-based implementation that allows independent trust providers to implement different trust metrics in a distributed manner while still allowing all trust providers to base their calculations on a common set of trust evidence. Further, our design allows experiences to be provably linked to interactions without the need for a central authority. This leads to the notion of evidence-based trust with provable interactions. Leveraging blockchain allows the trust providers to offer their services in a competitive manner, charging fees while users are provided with payments for recording experiences. Performance details of the blockchain implementation are provided.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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