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文章基本信息

  • 标题:Enabling Personal Privacy for Pervasive Computing Environments
  • 作者:Susana Alcalde Bagüés ; Andreas Zeidler ; Ignacio R. Matias
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2010
  • 卷号:16
  • 期号:3
  • 页码:341-371
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:Protection of personal data in the Internet is already a challenge today. Users have toactively look up privacy policies of websites and decide whether they can live with the terms of use. Once discovered, they are forced to make a "`take or leave"' decision. In future living andworking environments, where sensors and context-aware services are pervasive, this becomes an even greater challenge and annoyance. The environment is much more personalized and userscannot just "`leave"'. They require measures to prevent, avoid and detect misuse of sensitive data, as well as to be able to negotiate the purpose of use of data. We present a novel modelof privacy protection, complementing the notion of enterprise privacy with the incorporation of personal privacy towards a holistic privacy management system. Our approach allows non-expertusers not only to negotiate the desired level of privacy in a rather automated and simple way, but also to track and monitor the whole life-cycle of data.
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