如果可以的话跟踪我:基于位置的服务的透明混淆

R. D. Pietro, Roberto Mandati, Nino Vincenzo Verde
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引用次数: 14

摘要

尽管基于位置的服务(lbs)为其用户提供了明显的优势,但在与服务提供商共享用户跟踪数据时,会遇到许多隐私问题。现有的隐私增强解决方案(例如k-匿名)通常会降低服务精度,并且还需要服务提供者的合作——后者并不总是愿意失去对用户位置数据的控制。在本文中,我们提出了一种解决方案,该解决方案能够混淆用户到服务提供者的路径,同时保留(对于LBS)在混淆的路径上计算一些对用户有用的函数的能力。特别是,我们提供了几个贡献:首先,我们形式化了混淆函数的概念,并且我们提出了一个解决方案,该解决方案在允许用户继续利用服务提供者提供的服务的同时提供了用户隐私。此外,我们正式证明了该方法的隐私保护性质。最后,广泛的实验活动支持我们的方法的可行性,表明所提出的解决方案可以有效地在移动设备上实现。
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Track me if you can: Transparent obfuscation for Location based Services
Although Location-based Services (LBSs) offer evident advantages to their users, many privacy concerns are sought when user tracking data are shared with the service provider. Existing privacy enhancing solutions (e.g. k-anonymity) usually degrade service precision, and also require the collaboration of the service provider-this latter one not always willing to lose control over the user's location data. In this paper, we propose a solution that is able to obfuscate the user's path to the service provider, while preserving (for the LBS) the capability to compute a few functions-useful for the user-over the obfuscated path. In particular, we provide several contributions: first, we formalize the concept of obfuscation function, and we propose a solution that provides user privacy while allowing users to continue leveraging the services offered by the service provider. Moreover, we formally prove the privacy preserving properties of our approach. Finally, an extensive experimental campaign supports the feasibility of our approach, showing that the proposed solution can be efficiently implemented over mobile device.
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