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文章基本信息

  • 标题:Model for a Common Notion of Privacy Leakage on Public Database
  • 本地全文:下载
  • 作者:Shinsaku Kiyomoto ; Keith M. Martin
  • 期刊名称:Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
  • 印刷版ISSN:2093-5374
  • 电子版ISSN:2093-5382
  • 出版年度:2011
  • 卷号:2
  • 期号:1
  • 页码:50-62
  • 出版社:Innovative Information Science & Technology Research Group
  • 摘要:Privacy is an increasingly important aspect of data publishing services. If personal private infor- mation is leaked from the data, the service will be regarded as unacceptable by the original owners of the data. Two different approaches to defining a notion of database privacy, the generalization method and the perturbation method, have been independently studied. These two approaches have significantly differences, making it hard to compare related research. In this paper, we propose a uni- fied model that is based on the perturbation method, but which is applicable to generalized data sets. In particular, this model applies the notion of differential privacy to data sets that satisfy k-anonymity. We demonstrate this approach through a simple case study. This is a first step towards a common notion for protecting database privacy
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