Masking Location Streams in the Presence of Colluding Service Providers

2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) Pub Date : 2023-07-01 DOI:10.1109/EuroSPW59978.2023.00051

Toon Dehaene, M. Willocx, B. Lagaisse, Vincent Naessens

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Abstract

Many service providers rely on location data or streams to offer personalized services. However, reckless release of location streams can have serious privacy implications, especially with respect to sensitive zones, paths and time intervals. Unfortunately, current approaches by mobile platform providers to enhance privacy expose major shortcomings, especially with respect to releasing location information of frequently visited areas and in the presence of colluding service providers that are willing to combine local knowledge to retrieve more accurate information.This paper presents a practical approach to obfuscate location streams in the presence of the aforementioned challenges. Our solution combines multiple technologies and is validated through the development of a novel privacy-friendly location service in Android. It aims to realize a reasonable trade-off between privacy and utility concerns respectively raised by end-users and service providers. Thereby, sensitive locations, zones, paths, timestamps, and time intervals are highly configurable.

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屏蔽存在串通服务提供商的位置流

许多服务提供商依赖位置数据或流来提供个性化服务。然而，鲁莽地发布位置流可能会带来严重的隐私问题，特别是在敏感区域、路径和时间间隔方面。不幸的是，目前移动平台提供商增强隐私的方法暴露出重大缺陷，特别是在发布频繁访问地区的位置信息以及存在串通服务提供商愿意结合当地知识检索更准确信息的情况下。本文提出了一种实用的方法来混淆上述挑战的位置流。我们的解决方案结合了多种技术，并通过在Android上开发一种新颖的隐私友好的位置服务来验证。它旨在实现最终用户和服务提供商分别提出的隐私和效用问题之间的合理权衡。因此，敏感位置、区域、路径、时间戳和时间间隔是高度可配置的。

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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来源期刊

2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

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