Customizing privacy protection in data publishing

Jie Wang, Jun Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Distortion of data prior to publishing is one of the primary approaches to make sensitive data free of any illegal access or malicious use. Privacy customization has not been emphasized and well-studied in related literature. In this paper, data owners' preferences and data attributes' characteristics are taken into consideration. A privacy customization strategy is proposed and accomplished via a group distortion technique based on matrix decomposition. Several privacy and utility measures are studied. The performance of the proposed strategy is evaluated and compared to a conventional full distortion method. Our evaluation demonstrates that the proposed strategy has some attractive properties including an improved utility. In this way, a tradeoff between privacy and utility becomes more feasible.

Original languageEnglish
Title of host publicationProceedings of the 2012 2nd International Conference on Business Computing and Global Informatization, BCGIN 2012
Pages596-602
Number of pages7
DOIs
StatePublished - 2012
Event2012 2nd International Conference on Business Computing and Global Informatization, BCGIN 2012 - Shanghai, China
Duration: Oct 12 2012Oct 14 2012

Publication series

NameProceedings of the 2012 2nd International Conference on Business Computing and Global Informatization, BCGIN 2012

Conference

Conference2012 2nd International Conference on Business Computing and Global Informatization, BCGIN 2012
Country/TerritoryChina
CityShanghai
Period10/12/1210/14/12

Keywords

  • Privacy protection
  • data publishing

ASJC Scopus subject areas

  • Information Systems

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