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A Methodology for Maintaining Trust in Industrial Digital Ecosystems

机译:在工业数字生态系统中维持信任的方法

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摘要

Trust is widely considered to be essential for the smooth functioning of digital ecosystems. However, trust by its very nature, and due to the virtual connection between entities, is extremely fragile. Trust has a life cycle which is composed of building, maintaining, and declining. Given the fragility of trust in virtual environments, it is challenging to work out how to maintain the level of trust (specifically positive trust) between two interacting parties. Once positive trust has been established in the trust building phase, a methodological framework is needed to maintain the existing trust level, so that the relationship may be sustained in the future. In this paper, we present a methodology for maintaining trust in industrial digital ecosystems. The methodology proposes the use of a third party agent, an iterative negotiation process, proactive performance monitoring, and intelligence metrics recalibration of the trust level. In a trust-based relationship, trust can be regarded as having been maintained if the final trust is greater than or equal to initial trust. We demonstrate the validity of the methodology by engineering a prototype setup and running simulations under various operational conditions.
机译:人们普遍认为信任对于数字生态系统的平稳运行至关重要。但是,由于其本质以及实体之间的虚拟连接,信任非常脆弱。信任的生命周期包括建立,维持和下降。考虑到虚拟环境中信任的脆弱性,确定如何维护两个交互方之间的信任级别(特别是肯定的信任)具有挑战性。一旦在信任建立阶段建立了积极的信任,就需要一种方法框架来维持现有的信任级别,以便将来可以维持这种关系。在本文中,我们提出了一种在工业数字生态系统中保持信任的方法。该方法建议使用第三方代理,迭代协商过程,主动性能监控以及对信任级别的智能度量进行重新校准。在基于信任的关系中,如果最终信任大于或等于初始信任,则可以将信任视为已维护。我们通过设计原型设置并在各种操作条件下运行仿真来证明该方法的有效性。

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