Privacy, Data Anonymization, and Secure Data Publishing

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Data anonymization aims to mitigate privacy and security concerns and to comply with legal requirements by obfuscating personal details [Fung, 2010]. In this way, data anonymization prevents an adversary from mapping sensitive information to an individual.

Original languageEnglish
Title of host publicationSpringerBriefs in Computer Science
Place of Publication Boston, MA
PublisherSpringer
Pages47-68
Number of pages22
ISBN (Electronic)978-1-4614-2053-8
ISBN (Print)978-1-4614-2052-1
DOIs
StatePublished - 14 Feb 2012

Publication series

NameSpringerBriefs in Computer Science
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

Keywords

  • Anonymization Algorithm
  • Anonymization Process
  • Data Owner
  • Privacy Model
  • Taxonomy Tree

ASJC Scopus subject areas

  • General Computer Science

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