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Location-based Trust for Mobile User-generated Content: Applications, Challenges and Implementations

机译:移动用户生成内容的基于位置的信任:应用程序,挑战和实现

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The recent explosion in shared media content and sensed data produced by mobile end-users is challenging well-established principles and assumptions in data trust models. A fundamental issue we address in this paper is how to establish some trust level in the authenticity of content created by untrusted mobile users. We advocate a secure localization and certification service that allows content producers to tag their content with with a spatial times-tamp indicating its physical location. At the same time, however, our approach preserves the privacy of producers by not exposing their identity to the potential content consumers. We provide a list of existing and possible applications that would profit from such a secure localization service and sketch possible implementations of the service, highlighting advantages and drawbacks.
机译:共享媒体内容和移动最终用户产生的感测数据最近的爆炸式增长挑战了数据信任模型中公认的原理和假设。我们在本文中解决的一个基本问题是如何在不受信任的移动用户创建的内容的真实性中建立某种信任级别。我们提倡一种安全的本地化和认证服务,该服务使内容制作者可以使用指示其物理位置的空间时间戳来标记其内容。但是,与此同时,我们的方法通过不将生产者的身份暴露给潜在的内容消费者来保留生产者的隐私。我们提供了将从此类安全本地化服务中受益的现有应用程序和可能的应用程序列表,并概述了该服务的可能实现方式,突出了优点和缺点。

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