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Mobile Devices as Digital Sextants for Zero-Permission Geolocation

机译:移动设备作为零权限地理定位的数字六分子

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Sensors in mobile devices can be used to infer information about a user's context, most notably the location. Android apps and websites shown in Firefox for Android allow software to read the ambient light sensor, gyroscope and accelerometer without asking the user for permission. We show that these three sensors are sufficient to determine the rough geographical location of a user by turning the mobile device into a digital sextant. Despite low-quality sensor data, our approach is able to determine the position of the sun and thereby the geographical area where the user is located. Our approach works even if the user holding the device does not cooperate in being located or employs location-disguising techniques such as a VPN. We analyze in detail the different error sources and show in which settings and situations our approach works best. The location accuracy was at best 146 km with a medium accuracy better than 500 km. Truncating the positional sensor readings minimizes the privacy threat, while truncation of the ambient light sensor has almost no effect.
机译:移动设备中的传感器可用于推断有关用户上下文的信息,最值得注意的是位置。 Android应用程序和网站显示在Firefox for Android允许软件读取环境光传感器,陀螺仪和加速度计,而不要求用户进行许可。我们表明这三个传感器足以通过将移动设备转换为数字六分子来确定用户的粗糙地理位置。尽管有低质量的传感器数据,但我们的方法能够确定太阳的位置,从而确定了用户所在的地理区域。即使持有设备的用户不合作,我们的方法也不适用或采用诸如VPN的位置伪装技术。我们详细介绍了不同的错误来源,并显示我们的方法最佳的设置和情况。位置准确度最佳146公里,中准确度优于500公里。截断位置传感器读数最小化隐私威胁,而环境光传感器的截断几乎没有效果。

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