Kounadi Ourania, Resch Bernd
1 University of Salzburg, Austria.
2 Center for Geographic Analysis, Harvard University, Cambridge, MA, USA.
J Empir Res Hum Res Ethics. 2018 Jul;13(3):203-222. doi: 10.1177/1556264618759877. Epub 2018 Apr 23.
Participatory sensing applications collect personal data of monitored subjects along with their spatial or spatiotemporal stamps. The attributes of a monitored subject can be private, sensitive, or confidential information. Also, the spatial or spatiotemporal attributes are prone to inferential disclosure of private information. Although there is extensive problem-oriented literature on geoinformation disclosure, our work provides a clear guideline with practical relevance, containing the steps that a research campaign should follow to preserve the participants' privacy. We first examine the technical aspects of geoprivacy in the context of participatory sensing data. Then, we propose privacy-preserving steps in four categories, namely, ensuring secure and safe settings, actions prior to the start of a research survey, processing and analysis of collected data, and safe disclosure of datasets and research deliverables.
参与式传感应用程序会收集被监测对象的个人数据以及其空间或时空标记。被监测对象的属性可能是私密、敏感或机密信息。此外,空间或时空属性容易导致私人信息的推断性泄露。尽管有大量关于地理信息披露的面向问题的文献,但我们的工作提供了具有实际相关性的明确指导方针,包含研究活动为保护参与者隐私应遵循的步骤。我们首先在参与式传感数据的背景下研究地理隐私的技术方面。然后,我们从四个类别提出隐私保护步骤,即确保安全可靠的设置、研究调查开始前的行动、收集数据的处理与分析,以及数据集和研究成果的安全披露。