A privacy-preserving reputation system for participatory sensing
A privacy-preserving reputation system for participatory sensing
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DOI：
10.1109/lcn.2012.6423585
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发表时间：
2012-10
期刊：
影响因子：
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通讯作者：
Kuan Lun Huang;S. Kanhere;Wen Hu
中科院分区：
文献类型：
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作者：
Kuan Lun Huang;S. Kanhere;Wen Hu
感知是一种革命性的模式，志愿者使用移动的手机从当地环境收集和分享信息。一个成功的参与式传感应用的设计遇到了两个挑战-（1）用户隐私和（2）数据可信度。同时应对这些挑战是一项重要的任务，因为它们会导致相互冲突的系统需求。用户隐私通常通过删除连续用户贡献之间的链接来实现，而这些链接对于建立信任至关重要。在这项工作中，我们提出了一种方法来转移信誉值（这是一个代理评估可信度）之间的匿名贡献。我们还提出了一个声誉匿名方案，防止无意中泄漏的隐私，由于声誉信息之间的内在关系。我们使用真实世界的移动轨迹和实际应用进行了广泛的模拟。结果表明，我们的解决方案减少了用户被跟踪的概率，通过连续的贡献高达80%。此外，这种改进对应用程序的正常运行没有明显的影响。
Participatory sensing is a revolutionary paradigm in which volunteers collect and share information from their local environment using mobile phones. The design of a successful participatory sensing application is met with two challenges - (1) user privacy and (2) data trustworthiness. Addressing these challenges concurrently is a non-trivial task since they result in conflicting system requirements. User privacy is often achieved by removing the links between successive user contributions while such links are essential in establishing trust. In this work, we present a way to transfer reputation values (which is a proxy for assessing trustworthiness) between anonymous contributions. We also propose a reputation anonymization scheme that prevents the inadvertent leakage of privacy due to the inherent relationship between reputation information. We conduct extensive simulations using real-world mobility traces and practical application. The results show that our solution reduces the probabilities of users being tracked via successive contributions by as much as 80%. Moreover, this improvement has no discernible impact on the normal operation of the application.