Privacy, Data Anonymization, and Secure Data Publishing

Asaf Shabtai; Yuval Elovici; Lior Rokach

doi:10.1007/978-1-4614-2053-8_6

Privacy, Data Anonymization, and Secure Data Publishing

Asaf Shabtai, Yuval Elovici, Lior Rokach

Department of Software and Information Systems Engineering

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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 language	American English
Title of host publication	SpringerBriefs in Computer Science
Place of Publication	Boston, MA
Publisher	Springer
Pages	47-68
Number of pages	22
ISBN (Electronic)	978-1-4614-2053-8
ISBN (Print)	978-1-4614-2052-1
DOIs	https://doi.org/10.1007/978-1-4614-2053-8_6
State	Published - 14 Feb 2012

Publication series

Name	SpringerBriefs in Computer Science

Keywords

Anonymization Algorithm
Anonymization Process
Data Owner
Privacy Model
Taxonomy Tree

All Science Journal Classification (ASJC) codes

General Computer Science

Access to Document

10.1007/978-1-4614-2053-8_6

Cite this

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AU - Rokach, Lior

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KW - Data Owner

KW - Privacy Model

KW - Taxonomy Tree

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Privacy, Data Anonymization, and Secure Data Publishing

Abstract

Publication series

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this