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A service model based on recommendation trust in pervasive computing environment

机译:普适计算环境中基于推荐信任的服务模型

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According to the characteristics of pervasive computing, a suitable service model based on recommendation trust for pervasive computing is presented in this paper. In this model, the concept of recommendation credibility, credibility of service content and indirect credibility are introduced to overcome the problem of pervasive computing in the choice of service provider blindly. Recommendation credibility can prevent the cheating behavior of collusive recommendation. Credibility of service content can evaluate service providers more objective and prevent the cheating behavior of service providers. Indirect credibility can evaluate the recommendation side more comprehensive because it is decided by recommendation credibility and recommendation similarity. The proposed model has the advantage of fitting for dynamic trust characteristics of pervasive computing, preventing the failure behavior of single point and choosing more suitable service provider for service applicants.
机译:根据普适计算的特点,提出了一种基于推荐信任的普适计算服务模型。在该模型中,引入了推荐可信度,服务内容可信度和间接可信度的概念,以克服盲目选择服务提供商时普遍存在的计算问题。推荐信誉可以防止共谋推荐的作弊行为。服务内容的可信度可以更加客观地评估服务提供商,并防止服务提供商的欺诈行为。间接可信度可以更全面地评估推荐方,因为它是由推荐可信度和推荐相似性决定的。所提出的模型具有适合普适计算的动态信任特性,防止单点故障行为并为服务申请人选择更合适的服务提供者的优点。

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