PoolView: stream privacy for grassroots participatory sensing
PoolView: stream privacy for grassroots participatory sensing
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DOI：
10.1145/1460412.1460440
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发表时间：
2008-11
期刊：
影响因子：
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通讯作者：
R. Ganti;N. Pham;Yu-En Tsai;T. Abdelzaher
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文献类型：
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作者：
R. Ganti;N. Pham;Yu-En Tsai;T. Abdelzaher
本文开发的数学基础和架构组件提供隐私保证流数据在基层参与式传感应用程序，参与者群体使用私有传感器集体测量共同感兴趣的聚合现象。基层申请是指由社区成员自己提出的申请，而不是由一些政府或官方实体提出的申请。在这样的应用程序中可能缺乏层次信任结构，这使得实施隐私变得更加困难。为了解决这个问题，我们开发了一个隐私保护架构，称为PoolView，它依赖于客户端的数据扰动，以确保个人的隐私，并使用社区范围内的重建技术来计算感兴趣的聚合信息。PoolView允许任意一方启动新的服务，称为池，为他们的客户端计算新类型的聚合信息。PoolView的客户端和服务器端组件都已实现并可供下载，包括数据扰动和重建组件。开发了两个简单的传感服务用于说明;一个从订户GPS数据计算交通统计，另一个计算特定饮食的体重统计。使用作者收集的实际数据跟踪进行评估，演示了PoolView中的隐私保护聚合功能。
This paper develops mathematical foundations and architectural components for providing privacy guarantees on stream data in grassroots participatory sensing applications, where groups of participants use privately-owned sensors to collectively measure aggregate phenomena of mutual interest. Grassroots applications refer to those initiated by members of the community themselves as opposed to by some governing or official entities. The potential lack of a hierarchical trust structure in such applications makes it harder to enforce privacy. To address this problem, we develop a privacy-preserving architecture, called PoolView, that relies on data perturbation on the client-side to ensure individuals' privacy and uses community-wide reconstruction techniques to compute the aggregate information of interest. PoolView allows arbitrary parties to start new services, called pools, to compute new types of aggregate information for their clients. Both the client-side and server-side components of PoolView are implemented and available for download, including the data perturbation and reconstruction components. Two simple sensing services are developed for illustration; one computes traffic statistics from subscriber GPS data and the other computes weight statistics for a particular diet. Evaluation, using actual data traces collected by the authors, demonstrates the privacy-preserving aggregation functionality in PoolView.