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Short Paper: PEPSI: Privacy-Enhanced Participatory Sensing Infrastructure

机译:简短论文:PEPSI:增强隐私的参与式感知基础结构

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摘要

Participatory Sensing combines the ubiquity of mobile phones with the sensing capabilities of Wireless Sensor Networks. It targets the pervasive collection of information, e.g., temperature, traffic conditions, or medical data. Users produce measurements from their mobile devices, thus, a number of privacy concerns - due to the personal information conveyed by reports - may hinder the large-scale deployment of participatory sensing applications. Prior work has attempted to protect privacy in participatory sensing, but it relied on unrealistic assumptions and achieved no provably-secure guarantees. In this paper, we introduce PEPSI: Privacy-Enhanced Participatory Sensing Infrastructure. We explore realistic architectural assumptions and a minimal set of formal requirements aiming at protecting privacy of both data producers and consumers. We also present an instantiation that attains privacy guarantees with provable security at very low additional computational cost and almost no extra communication overhead. Finally, we highlight some problems that call for further research in this developing area.
机译:参与式感应将移动电话的普及性与无线传感器网络的感应功能结合在一起。它的目标是广泛收集信息,例如温度,交通状况或医疗数据。用户从其移动设备进行测量,因此,由于报告所传达的个人信息,许多隐私问题可能会妨碍参与式传感应用程序的大规模部署。先前的工作试图在参与式感知中保护隐私,但是它依赖于不切实际的假设并且没有获得可证明的安全保证。在本文中,我们介绍了PEPSI:增强隐私的参与式感知基础结构。我们探索现实的架构假设和最小限度的正式要求,旨在保护数据生产者和消费者的隐私。我们还提出了一种实例,该实例以非常低的额外计算成本且几乎没有额外的通信开销获得具有可证明的安全性的隐私保证。最后,我们重点介绍了一些需要在这个发展中领域进行进一步研究的问题。

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