实现保护隐私的人群感知任务的实际部署

Proceedings of the Posters and Demos Session of the 15th International Middleware Conference Pub Date : 2014-12-08 DOI:10.1145/2678508.2678530

Nicolas Haderer, Vincent Primault, Patrice Raveneau, Christophe Ribeiro, Romain Rouvoy, Sonia Ben Mokhtar

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引用次数: 5

摘要

最近几代的手机，嵌入了各种各样的传感器，促进了开放传感应用的发展，如网络质量或天气预报应用。本文提出了一种基于APISENSE和PRIVAPI两个组件的新型隐私保护众包平台。APISENSE是一个分布式中间件平台，它利用了跨移动电话群体的众包任务的动态部署。PRIVAPI是一个中间件，用于处理移动数据的隐私保护发布。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Towards a practical deployment of privacy-preserving crowd-sensing tasks

Recent generations of mobile phones, embedding a wide variety of sensors, have fostered the development of open sensing applications, such as network quality or weather forecast applications. In this paper, we present a novel privacy-preserving crowdsourcing platform relying on two components: APISENSE and PRIVAPI. APISENSE is a distributed middleware platform that leverages the dynamic deployment of crowdsourcing tasks across a population of mobile phones. PRIVAPI is a middleware handling privacy-preserving publication of mobility data.

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Proceedings of the Posters and Demos Session of the 15th International Middleware Conference

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