Trust Management for Ubiquitous Healthcare

Weiwei Yuan, D. Guan, Sungyoung Lee
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引用次数: 5

Abstract

As the cornerstone of effective patient-physician relationships in the traditional healthcare infrastructures, trust faces new opportunities and challenges in the ubiquitous healthcare. Ubiquitous healthcare enables the agents acquire more information on trust evaluation through effectively resource sharing. Yet ubiquitous healthcare also lays the agents in a more dynamic and uncertainty environment for the trust evaluations. This paper contributes to develop a distributed trust management for the ubiquitous healthcare. Our trust management infrastructure is responsible for evaluating the trust value and assigning access rights based on the trust value. Based on each agent's confidence of its personal experience on other agents, three naive Bayes classifier based algorithms are introduced for the trust evaluation: the robust experience algorithm, the weak experience algorithm and the no experience algorithm. The simulation results show the feasibility and effectiveness of our trust management in the ubiquitous healthcare.
无处不在的医疗保健信任管理
信任作为传统医疗基础设施中有效医患关系的基石,在无处不在的医疗保健中面临着新的机遇和挑战。泛在医疗使代理通过有效的资源共享获得更多的信任评估信息。然而,无处不在的医疗保健也使代理人处于更加动态和不确定的信任评估环境中。本文旨在为泛在医疗保健系统开发分布式信任管理。我们的信任管理基础架构负责评估信任值并根据信任值分配访问权限。基于每个智能体对其他智能体的个人经验置信度,引入了三种基于朴素贝叶斯分类器的信任评估算法:鲁棒经验算法、弱经验算法和无经验算法。仿真结果表明了该信任管理方法在泛在医疗环境下的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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