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MaxPace: Speed-constrained location queries

机译：MaxPace：速度受限的位置查询

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With the increasing proliferation of mobile devices, location-based services enjoy increasing popularity. At the same time, this raises concerns regarding location privacy, as seen in many publicized cases when user location is illegitimately tracked both by malicious users and by invasive service providers. This paper is focused on privacy for the location proximity problem, with the goal of revealing the proximity of a user without disclosing any other data about the user's location. A key challenge is attacks by multiple requests, when a malicious user requests proximity to a victim from multiple locations in order to position the user by trilateration. To mitigate these concerns we develop MaxPace, a general policy framework to restrict proximity queries based on the speed of the requester. MaxPace boosts the privacy guarantees, which is demonstrated by comparative bounds on how the knowledge about the users' location changes over time. MaxPace applies to both a centralized setting, where the server can enforce the policy on the actual locations, and a decentralized setting, dispensing with the need to reveal user locations to the service provider. The former has already found a way into practical location-based services. For the latter, we develop a secure multi-party computation protocol that incorporates the speed constraints in its design. We formally establish the protocol's privacy guarantees and benchmark our prototype implementation to demonstrate the protocol's practical feasibility.
机译：随着移动设备的日益普及，基于位置的服务越来越受欢迎。同时，这引起了对位置隐私的担忧，正如在许多公开案例中所看到的那样，恶意用户和入侵服务提供商都非法跟踪了用户位置。本文的重点是解决位置邻近性问题的隐私问题，目的是揭示用户的邻近性，而不泄露有关用户位置的任何其他数据。一个关键的挑战是，当恶意用户请求从多个位置接近受害者以通过三边测量定位用户时，会受到多个请求的攻击。为了减轻这些担忧，我们开发了MaxPace，这是一个通用策略框架，用于根据请求者的速度来限制邻近查询。 MaxPace增强了隐私保证，这是关于用户位置的知识如何随时间变化的比较界限所证明的。 MaxPace既适用于服务器可以在实际位置上实施策略的集中式设置，也适用于分散式设置（无需向服务提供商显示用户位置）。前者已经找到了一种实用的基于位置的服务的方法。对于后者，我们开发了一种安全的多方计算协议，该协议在其设计中纳入了速度限制。我们正式建立了该协议的隐私保证，并以原型实现为基准，以证明该协议的实际可行性。

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