Location Privacy Breach: Apps Are Watching You in Background

Dachuan Liu, Xing Gao, Haining Wang
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引用次数: 11

Abstract

Smartphone users can conveniently install a set of apps that provide Location Based Service (LBS) from markets. These LBS-based apps facilitate users in many application scenarios, but they raise concerns on the breach of privacy related to location access. Smartphone users can hardly perceive location access, especially when it happens in background. In comparison to location access in foreground, location access in background could result in more serious privacy breach because it can continuously know a user's locations. In this paper, we study the problem of location access in background, and especially perform the first measurement of this background action on the Google app market. Our investigation demonstrates that many popular apps conduct location access in background within short intervals. This enables these apps to collect a user's location trace, from which the important personal information, Points of Interest (PoIs), can be recognized. We further extract a user's movement pattern from the PoIs, and utilize it to measure the extent of privacy breach. The measurement results also show that using the combination of movement pattern related metrics and the other PoI related metrics can help detect the privacy breach in an earlier manner than using either one of them alone.
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位置隐私泄露:应用程序在后台监视你
智能手机用户可以方便地安装一组应用程序,这些应用程序提供来自市场的基于位置的服务(LBS)。这些基于lbs的应用程序在许多应用场景中为用户提供了便利,但它们也引发了与位置访问相关的隐私泄露问题。智能手机用户几乎无法感知位置访问,尤其是在后台操作时。与前台的位置访问相比,后台的位置访问可能会导致更严重的隐私泄露,因为它可以持续地了解用户的位置。本文主要研究了后台位置访问问题,并在谷歌应用市场上对这一后台行为进行了首次测量。我们的调查表明,许多流行的应用程序在短时间内进行后台位置访问。这使得这些应用程序可以收集用户的位置跟踪,从中识别出重要的个人信息,兴趣点(PoIs)。我们进一步从poi中提取用户的移动模式,并利用它来衡量隐私泄露的程度。测量结果还表明,与单独使用其中任何一个相比,结合使用与移动模式相关的度量和其他PoI相关的度量可以帮助更早地检测到隐私泄露。
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