Every Move You Make: Tracking Smartphone Users through Motion Sensors

Anupam Das
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Abstract

Online users are increasingly being subjected to privacy-invasive tracking across the web for advertisement and surveillance purposes, using IP addresses, cookies, and browser fingerprinting. As web browsing activity shifts to mobile platforms such as smartphones, traditional browser fingerprinting techniques become less effective due to ephemeral IP addresses and uniform software-base. However, device fingerprinting using built-in sensors offers a new avenue for attack. In this talk, I will describe how motion sensors such as accelerometer and gyroscope, embedded in smartphones, can be exploited to track users online. Next, I will discuss the practical aspects of this attack and how it can be used to track users across different sessions under natural web browsing settings. Finally, I will talk about usable countermeasures that we have developed to protect users against such fingerprinting techniques.
你做的每一个动作:通过运动传感器跟踪智能手机用户
网络用户越来越多地受到侵犯隐私的跟踪,这些跟踪是出于广告和监视的目的,使用IP地址、cookie和浏览器指纹。随着网络浏览活动转向智能手机等移动平台,传统的浏览器指纹识别技术由于IP地址的短暂性和统一的软件基础而变得不那么有效。然而,使用内置传感器的设备指纹识别为攻击提供了新的途径。在这个演讲中,我将描述如何运动传感器,如加速度计和陀螺仪,嵌入智能手机,可以利用在线跟踪用户。接下来,我将讨论这种攻击的实际方面,以及如何使用它在自然网页浏览设置下跨不同会话跟踪用户。最后,我将谈谈我们开发的保护用户免受此类指纹技术侵害的可用对策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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