用于室内wi-fi定位的隐私保护协议

S. N. Eshun, P. Palmieri
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引用次数: 4

摘要

近年来,由于智能手机的引入和进步,位置感知应用程序在全球范围内取得了巨大的增长。这些应用大多依赖于全球定位系统(GPS),而GPS在室内环境中不可用。因此,Wi-Fi指纹识别作为一种替代方案正变得越来越受欢迎,因为它允许用户在室内环境中进行定位,功耗更低,而且由于它不需要除Wi-Fi卡以外的专用传感器而更加经济。该技术允许服务提供商(SP)构建一个Wi-Fi数据库(称为无线电地图),可以用作定位用户的参考点。然而,这个过程并不能保护用户的隐私,因为位置只能与服务提供商交互计算。服务提供商也可能向用户透露室内空间的敏感信息(例如建筑物地图)。因此,我们需要一个室内定位协议来解决双方的隐私问题。在本文中,我们提出了一种用于室内Wi-Fi定位的隐私保护加密协议,该协议可以防止SP在某些预定义的敏感区域之外学习用户的确切位置,同时保持SP的数据库安全。因此,除了所揭示的隐式输出外,双方无法了解彼此的输入。
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A privacy-preserving protocol for indoor wi-fi localization
Location-aware applications have witnessed massive worldwide growth in recent years due to the introduction and advancement of smartphones. Most of these applications rely on the Global Positioning System (GPS) which is not available in indoor environments. As a result, Wi-Fi fingerprinting is becoming increasingly popular as an alternative as it allows localizing users in indoor environments, has lower power consumption, and is also more economical as it does not require a dedicated sensor other than a Wi-Fi card. The technique allows a service provider (SP) to construct a Wi-Fi database (called radio map) that can be used as a reference point to localize a user. However, this process does not preserve the user privacy, as the location can only be computed interactively with the SP. The service provider may also reveal sensitive information on the indoor space (e.g. the building map) to the user. Thus, we need an indoor localization protocol that addresses the privacy of both parties. In this paper, we present a privacy-preserving cryptographic protocol for indoor Wi-Fi localization, that prevents the SP from learning the exact location of the user outside of certain pre-defined sensitive areas, while keeping the SP's database secure. Thus, both parties cannot learn anything about each other's input beyond the implicit output revealed.
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