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An open framework for flexible plug-in privacy mechanisms in crowdsensing applications

机译:一个开放式框架,可在人群感知应用程序中使用灵活的插件隐私机制

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摘要

Preserving user privacy is crucial for the wide adoption of crowdsensing and participatory sensing applications that rely on personal devices. Currently, each application comes with its own hardwired and possibly undocumented privacy support (if any), while the horizontal protection mechanisms provided by operating and runtime systems operate at a low level that can significantly harm application utility, or even render an application useless. To achieve greater flexibility, we propose a framework that decouples the privacy mechanism from the application logic so that it can be developed by another, perhaps more trusted party, and which allows the dynamic binding of different privacy mechanisms to the same application running on the user's mobile device. We describe a proof-of-concept implementation of the proposed framework for Android, where privacy mechanisms are independently developed as separate plug-in components. Based on a simple but powerful API, it is possible to implement a wide range of standard privacy approaches, including collaborative schemes that involve data exchanges among multiple personal devices.
机译:对于依赖个人设备的人群感应和参与式感应应用的广泛采用,保护用户隐私至关重要。当前,每个应用程序都具有自己的硬连线且可能未记录的隐私支持(如果有),而操作系统和运行时系统提供的水平保护机制运行于较低水平,可能会严重损害应用程序实用程序,甚至使应用程序失效。为了获得更大的灵活性,我们提出了一个框架,该框架将隐私机制与应用程序逻辑分离,以便可以由另一个(可能是更受信任的)一方开发它,并允许将不同的隐私机制动态绑定到用户的应用程序上移动设备。我们描述了针对Android提出的框架的概念验证实现,其中隐私机制作为独立的插件组件独立开发。基于一个简单但功能强大的API,可以实现各种标准的隐私方法,包括涉及多个个人设备之间的数据交换的协作方案。

著录项

  • 作者

    Theodorakopoulos Georgios;

  • 作者单位
  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 en
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