Privacy-based recommendation mechanism in mobile participatory sensing systems using crowdsourced users' preferences
Privacy-based recommendation mechanism in mobile participatory sensing systems using crowdsourced users' preferences
复制标题
利用众包用户偏好的移动参与感知系统中基于隐私的推荐机制
DOI：
10.1016/j.future.2017.08.055
复制
发表时间：
2018-03
影响因子：
7.5
通讯作者：
Ruiyun Yu
中科院分区：
文献类型：
--
作者：
Rui Liu;Junbin Liang;Wenyu Gao;Ruiyun Yu
作为一种新颖的感测模式，利用无处不在且能力越来越强的移动的设备来收集和解释来自环境的信息，已经开创了分离式感测。长期参与这类系统的主要障碍之一是用户的隐私问题。由于这些系统的性质，用户必须同意提供一些个人信息，这可能导致隐私泄露。这种风险会降低用户参与感知活动的积极性，从而削弱参与式感知的优势。为了减轻隐私风险，我们的基本是向用户提出建议，什么数据可以提供基于他们的隐私偏好时，他们在移动的参与式传感系统。我们提出了PriRe，一个基于隐私的推荐机制。更具体地说，PriRe首先根据用户对参与式传感系统中数据共享的偏好来衡量隐私风险，然后根据测量结果提出建议。此外，我们在真实的世界中实施和部署PriRe作为用户研究进行评估。研究表明，在移动的参与式感知系统中，PriRe能够准确地度量用户隐私，并为用户提供有效的数据共享建议。它也被用户认为是一个值得信赖的工具。
Participatory sensing has been pioneered as a novel sensing pattern to collect and interpret information from the environment using ubiquitous and ever-more-capable mobile devices. One of the main obstacles for long-term participation in such systems are users’ privacy concerns. Due to the nature of these systems, users have to agree to provide some personal information, which may lead to privacy disclosure. This risk will dampen users’ enthusiasm to participate in sensing activities, and diminish the advantage of participatory sensing accordingly. To mitigate the privacy risk, our basic is to make recommendations to users about what data can be provided based on their privacy preferences when they are in the mobile participatory sensing systems. We proposePriRe, a privacy-based recommendation mechanism. More specifically, PriRe first measures privacy risks based on user preferences towards data sharing in participatory sensing systems and then make the recommendation according to the measurement. Further, we implemented and deployed PriRe in the real world as a user study for evaluation. The study shows that PriRe can measure the users’ privacy accurate and provide effective recommendations to users for data sharing in mobile participatory sensing systems. It is also accepted by the users as a trustworthy tool.
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10.1016/j.ins.2010.12.001
发表时间：
2011-04
期刊：
Inf. Sci.
影响因子：
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作者：
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2014-09
期刊：
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影响因子：
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Ryoma Kawajiri;M. Shimosaka;H. Kashima