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Selective cloaking: Need-to-know for location-based apps

机译:选择性粘贴:需要了解基于位置的应用程序

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Currently location privacy settings of mobile operating systems are limited to the option of enabling or disabling the use of location completely or on a per-app basis. When location use is allowed, users always reveal their location in full precision even to apps that do not need it. For instance, weather forecast apps and navigation apps both get the most exact location a device can determine. Up to now, mobile privacy research was focused on the recognition and prevention of disclosure of private data. This includes location data, but does not extend to privacy in use cases where users do want to disclose their location — but not in full detail. However, the increasing adoption of smartphones entails the increasing use of location-based services as well. Users want to use these services, but have privacy concerns. As many location-based services do not require exact locations, user privacy can be increased by only disclosing location in such detail as required for the respective service to function. To enable users to restrict the accuracy of location data that is revealed to apps, we created a location privacy framework that allows per-app location obfuscation. The framework allows easy integration of different obfuscation algorithms into the Android system. We present both on-device obfuscation and service-based obfuscation and evaluate our framework.
机译:目前移动操作系统的位置隐私设置仅限于选择或禁用完全或按基础上使用位置的选项。当允许位置使用时,用户始终以完全精确地显示其位置,即使对于不需要它的应用程序也是如此。例如,天气预报应用程序和导航应用程序都获得设备可以确定的最精确的位置。截至目前,移动隐私研究专注于承认和预防私人数据的披露。这包括位置数据,但在用户确实希望披露其位置的使用情况下,不扩展到隐私 - 但不完整详细信息。然而,智能手机的增加也需要不断使用基于位置的服务。用户想要使用这些服务,但具有隐私问题。随着基于位置的基于位置的服务不需要确切的位置,仅通过根据各个服务的功能的要求,仅通过公开的详细信息来增加用户隐私。为了使用户能够限制向应用程序显示的位置数据的准确性,我们创建了一个位置隐私框架,允许每个应用程序位置混淆。该框架允许将不同的混淆算法简单地集成到Android系统中。我们展示了设备上的困难和基于服务的混淆,并评估了我们的框架。

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