Seven privacy worries in ubiquitous social computing

Sara Gatmir-Motahari, C. Manikopoulos, S. R. Hiltz, Quentin Jones
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引用次数: 24

Abstract

Review of the literature suggests seven fundamental privacy challenges in the domain of ubiquitous social computing. To date, most research in this area has focused on the features associated with the revelation of personal location data. However, a more holistic view of privacy concerns that acknowledges these seven risks is required if we are to deploy privacy respecting next generation social computing applications. We highlight the threat associated with user inferences made possible by knowledge of the context and use of social ties. We also describe work in progress to both understand user perceptions and build a privacy sensitive urban enclave social computing system.
无处不在的社交计算带来的七大隐私担忧
回顾文献提出了在无处不在的社会计算领域的七个基本隐私挑战。迄今为止,这一领域的大多数研究都集中在与个人位置数据泄露相关的特征上。然而,如果我们要部署尊重下一代社会计算应用程序的隐私,就需要更全面地看待隐私问题,承认这七个风险。我们强调了与用户推断相关的威胁,这些推断是通过对上下文的了解和对社会关系的使用而实现的。我们还描述了正在进行的工作,以了解用户感知和建立隐私敏感的城市飞地社会计算系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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