Internet of Things (IoT) applications, such as smart home or ambient-assisted living systems, promise useful services to end users. Most of these services rely heavily on sharing and aggregating information among devices, many times raising privacy concerns. Contrary to traditional systems, where privacy of each user is managed through well-defined policies, the scale, dynamism, and heterogeneity of the IoT systems make it impossible to specify privacy policies for all possible situations. Alternatively, this article argues that handling of privacy has to be reasoned by the IoT devices, depending on the norms, context, as well as the trust among entities. We present a technique, where an IoT device collects information from others, evaluates the trustworthiness of the information sources to decide the suitability of sharing information with others. We demonstrate the applicability of the technique over an IoT pilot study.

中文翻译：

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TURP：管理用于监管物联网隐私的信任

物联网 (IoT) 应用程序，例如智能家居或环境辅助生活系统，可为最终用户提供有用的服务。大多数这些服务严重依赖于设备之间的信息共享和聚合，多次引发隐私问题。与通过明确定义的策略管理每个用户隐私的传统系统相反，物联网系统的规模、动态和异构性使得无法为所有可能的情况指定隐私策略。或者，本文认为隐私的处理必须由物联网设备来推理，这取决于规范、上下文以及实体之间的信任。我们提出了一种技术，物联网设备从他人那里收集信息，评估信息源的可信度，以确定与他人共享信息的适合性。