A Lightweight Location Privacy-Preserving Scheme for WiFi Fingerprint-Based Localization

Hong Li, Yunhua He, Xiuzhen Cheng, Limin Sun
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引用次数: 5

Abstract

Although regarded as a promising approach for indoor localization, WiFi fingerprint-based localization can lead to potential location privacy violations. In this work, we study the location privacy issues of WiFi fingerprint-based localization and propose a lightweight location privacy-preserving scheme that does not rely on any cryptographic primitive as the existing work does. In our scheme, a to-be-localized user sends the measured signal strength values and other k-1 dummy signal strength values to the service provider who accordingly replies with k locations. The service provider cannot distinguish the user's location from the other k-1 dummy locations. Compared with the existing work, the computational and communication overhead of the proposed scheme are much lower.
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一种基于WiFi指纹定位的轻量级位置隐私保护方案
虽然被认为是一种很有前途的室内定位方法,但基于WiFi指纹的定位可能会导致潜在的位置隐私侵犯。在这项工作中,我们研究了基于WiFi指纹定位的位置隐私问题,并提出了一种轻量级的位置隐私保护方案,该方案不像现有工作那样依赖于任何加密原语。在我们的方案中,待定位用户将测量的信号强度值和其他k-1个虚拟信号强度值发送给服务提供商,服务提供商相应回复k个位置。服务提供商无法将用户的位置与其他k-1个虚拟位置区分开来。与现有的工作相比,该方案的计算量和通信开销都大大降低。
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