articleJun 14, 2005Closed access

Incognito

University of Wisconsin–Madison

Indexed incrossref

Abstract

A number of organizations publish microdata for purposes such as public health and demographic research. Although attributes that clearly identify individuals, such as Name and Social Security Number, are generally removed, these databases can sometimes be joined with other public databases on attributes such as Zipcode, Sex, and Birthdate to re-identify individuals who were supposed to remain anonymous. "Joining" attacks are made easier by the availability of other, complementary, databases over the Internet.K-anonymization is a technique that prevents joining attacks by generalizing and/or suppressing portions of the released microdata so that no individual can be uniquely distinguished from a group of size…

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1,060
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90.51
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100%
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Authors

3

Topics & keywords

Keywords
  • Microdata (statistics)
  • Computer science
  • Generalization
  • Publication
  • Domain (mathematical analysis)
  • Set (abstract data type)
  • Data mining
  • Information retrieval
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