BlurSense:智能手机隐私动态细粒度访问控制

Justin Cappos, Lai Wang, Richard S. Weiss, Yi Yang, Yanyan Zhuang
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引用次数: 22

摘要

对很多人来说,智能手机是连接现代世界的技术接口。这些智能设备具有嵌入式传感器,如加速度计、陀螺仪、GPS传感器和摄像头,可用于开发新的移动应用程序。然而,这些传感器也给用户带来了隐私风险。这项工作描述了BlurSense,这是一个工具,可以提供对智能手机、平板电脑和类似终端用户设备上所有传感器的安全和可定制访问。当前对智能手机资源(如传感器数据)的访问控制是静态的和粗粒度的。BlurSense是一种动态的、细粒度的、灵活的访问控制机制,作为一道防线,允许用户定义和添加隐私过滤器。因此,用户可以将过滤后的传感器数据暴露给不受信任的应用程序,研究人员可以以保护用户隐私的方式收集数据。
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BlurSense: Dynamic fine-grained access control for smartphone privacy
For many people, smartphones serve as a technical interface to the modern world. These smart devices have embedded on-board sensors, such as accelerometers, gyroscopes, GPS sensors, and cameras, which can be used to develop new mobile applications. However, the sensors also pose privacy risks to users. This work describes BlurSense, a tool that provides secure and customizable access to all of the sensors on smartphones, tablets, and similar end user devices. The current access control to the smartphone resources, such as sensor data, is static and coarse-grained. BlurSense is a dynamic, fine-grained, flexible access control mechanism, acting as a line of defense that allows users to define and add privacy filters. As a result, the user can expose filtered sensor data to untrusted apps, and researchers can collect data in a way that safeguards users' privacy.
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