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IoT Trust Estimation in An Unknown Place Using The Opinions of I-Sharing Friends

机译:使用我分享朋友的意见,在一个不知名的地方信托估计

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Advances of IoT have enabled users to use intelligent services from surrounding smart objects. As the needs of preventing the misusage of personal information increases, the estimation of the trustworthiness of interaction counterparts before interaction is important to prevent potential dangers. Existing trust estimation solutions are based on Social IoT, which is hard to adopt in reality. Another approach uses indirect interaction history to estimate trustworthiness, which is not efficient in an unknown place. In this paper, we propose a trust estimation scheme that allows a user to evaluate the trust value of target device in an unknown place, by leveraging I-sharing friend's subjective experience. Evaluation results show that the proposed scheme decreases RMSE up to 2.5 times compared with the existing approach.
机译:IOT的进步使用户能够从周围的智能对象中使用智能服务。随着防止个人信息缺乏的需求增加,互动前互动对应的可信度估算对于防止潜在的危险是重要的。现有的信托估计解决方案基于社会物联网,这是难以实现的。另一种方法使用间接交互历史来估计可信度,这在一个未知的地方是不高的。在本文中,我们提出了一种信任估计方案,该方案允许用户通过利用I分享朋友的主观体验来评估一个未知位置中目标设备的信任值。评价结果表明,与现有方法相比,该方案降低了高达2.5倍的RMSE。

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