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文章基本信息

  • 标题:Tuple Grouping Strategy for Privacy Preservation of Microdata Disclosure
  • 本地全文:下载
  • 作者:R.Maheswari ; V.Gayathri ; S.Jaya Prakash
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:3
  • 出版社:S.S. Mishra
  • 摘要:Privacy preservation is important one while publishing the information containing individual specific records like employee's records and patient's records. Generally Sensitive information about individual's records will violate the privacy. There are several techniques have been introduced for preserving the privacy. The existing system has been designed with the anonymization techniques of generalization and bucketization. Those methods were revealed the privacy of individual information to the adversaries. Generalization involved considerable loss of the information and bucketization method does not protection from membership disclosure and there is no clear separation between sensitive attributes and quasi identifier attributes. The proposed system of slicing with Tuple grouping algorithm partitioned the data both vertically and horizontally. It provides better data utility than generalization and protection from membership disclosure and also can handle in high dimensional d ata. Government agencies, and organization and companies are shared the data and publication of the data for research purpose.
  • 关键词:Privacy Preservation; Microdata; Sensitive information; Data anonymization; Data publishing; D ata ;security.
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