Privacy-Preserving Optimal Meeting Location Determination on Mobile Devices
Privacy-Preserving Optimal Meeting Location Determination on Mobile Devices
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DOI：
10.1109/tifs.2014.2318435
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发表时间：
2014-07
影响因子：
6.8
通讯作者：
Igor Bilogrevic;Murtuza Jadliwala;Vishal Joneja;Kübra Kalkan;J. Hubaux;I. Aad
中科院分区：
文献类型：
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作者：
Igor Bilogrevic;Murtuza Jadliwala;Vishal Joneja;Kübra Kalkan;J. Hubaux;I. Aad
配备了最先进的智能手机和移动的设备，今天高度互联的城市人口越来越依赖这些小工具来组织和规划他们的日常生活。这些应用程序通常依赖于个人用户或一组用户的当前（或首选）位置来提供所需的服务，这会危及他们的隐私;用户不一定想向服务提供商或其他可能不受信任的用户透露他们的当前（或首选）位置。在本文中，我们提出了用于确定一组用户的最佳会议地点的隐私保护算法。我们执行一个彻底的隐私评估正式量化隐私损失的建议的方法。为了研究我们的算法在一个真实的部署的性能，我们实现和测试其执行效率的诺基亚智能手机。通过有针对性的用户研究，我们试图深入了解用户的隐私意识在基于位置的服务和可用性的建议的解决方案。
Equipped with state-of-the-art smartphones and mobile devices, today's highly interconnected urban population is increasingly dependent on these gadgets to organize and plan their daily lives. These applications often rely on current (or preferred) locations of individual users or a group of users to provide the desired service, which jeopardizes their privacy; users do not necessarily want to reveal their current (or preferred) locations to the service provider or to other, possibly untrusted, users. In this paper, we propose privacy-preserving algorithms for determining an optimal meeting location for a group of users. We perform a thorough privacy evaluation by formally quantifying privacy-loss of the proposed approaches. In order to study the performance of our algorithms in a real deployment, we implement and test their execution efficiency on Nokia smartphones. By means of a targeted user-study, we attempt to get an insight into the privacy-awareness of users in location-based services and the usability of the proposed solutions.