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An integrated approach for trust management based on policy, community adherence and reputation

机译：基于策略，社区遵守和声誉的信任管理的集成方法

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Pervasive computing is a decentralised open environment where different devices interact without prior knowledge of each other, involving a large amount of data. Evaluating the relationship among heterogeneous devices in pervasive computing environment is a challenging task. In a distributed pervasive environment a device might be interested in knowing whether a provider has the information security practices certified by international standard authorities and also has high reputation due to past transactions with other consumer. Therefore an integrated approach (Policies and Recommendations) is proposed in this paper. The concept of community is also introduced for efficient maintenance of devices so that the dynamic topology and mobility issues of ubiquitous devices are handled efficiently. The gossiping (where and when the nodes are idle they exchange or share their history of interactions) technique is highly useful in the proposed model to control false recommendation of malicious spies and to efficiently update trust values frequently.
机译：普适计算是一种分散的开放式环境，在该环境中，不同的设备在相互之间没有先验知识的情况下进行交互，涉及大量数据。在普适计算环境中评估异构设备之间的关系是一项艰巨的任务。在分布广泛的环境中，设备可能会对知道提供商是否具有国际标准权威机构认证的信息安全惯例以及由于与其他消费者过去的交易而享有很高的声誉感兴趣。因此，本文提出了一种综合方法（政策和建议）。社区的概念也被引入以有​​效地维护设备，以便有效处理普遍存在的设备的动态拓扑和移动性问题。闲聊（节点何时何地处于空闲状态，它们交换或共享其交互历史）技术在建议的模型中非常有用，可以控制对恶意间谍的错误推荐并有效地频繁更新信任值。

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