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Participatory privacy: Enabling privacy in participatory sensing

机译:参与式隐私:在参与式感知中启用隐私

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摘要

Participatory sensing is an emerging computing paradigm that enables the distributed collection of data by self-selected participants. It allows the increasing number of mobile phone users to share local knowledge acquired by their sensor-equipped devices (e.g., to monitor temperature, pollution level, or consumer pricing information). While research initiatives and prototypes proliferate, their real-world impact is often bounded to comprehensive user participation. If users have no incentive, or feel that their privacy might be endangered, it is likely that they will not participate. In this article, we focus on privacy protection in participatory sensing and introduce a suitable privacy-enhanced infrastructure. First, we provide a set of definitions of privacy requirements for both data producers (i.e., users providing sensed information) and consumers (i.e., applications accessing the data). Then we propose an efficient solution designed for mobile phone users, which incurs very low overhead. Finally, we discuss a number of open problems and possible research directions.
机译:参与式感应是一种新兴的计算范式,它使自选参与者可以分布式收集数据。它允许越来越多的移动电话用户共享其配备传感器的设备所获取的本地知识(例如,监控温度,污染水平或消费者价格信息)。尽管研究计划和原型激增,但它们在现实世界中的影响通常仅限于全面的用户参与。如果用户没有动机,或者觉得自己的隐私可能受到威胁,则很可能他们将不参与。在本文中,我们将重点放在参与式感知中的隐私保护上,并介绍一个合适的增强隐私的基础结构。首先,我们为数据生产者(即提供感知信息的用户)和消费者(即访问数据的应用程序)提供了一系列隐私要求的定义。然后,我们提出了一种针对手机用户设计的有效解决方案,该解决方案的开销非常低。最后,我们讨论了许多未解决的问题和可能的研究方向。

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