A Framework For Privacy Diagnosis And Preservation In Data Publishing

Privacy preservation in data publishing aims at the publication of data with protecting private information. Although removing direct identifier of individuals seems to protect their anonymity at first glance, private information may be revealed by joining the data to other external data. Privacy p...

Full description

Saved in:

Bibliographic Details
Main Author:	Mirakabad, Mohammad Reza Zare
Format:	Thesis
Language:	English
Published:	2010
Subjects:	QA75.5-76.95 Electronic computers Computer science
Online Access:	http://eprints.usm.my/42061/1/MOHAMMAD_REZA_ZARE_MIRAKABAD.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-usm-ep.42061
record_format	uketd_dc
spelling	my-usm-ep.420612019-04-12T05:26:53Z A Framework For Privacy Diagnosis And Preservation In Data Publishing 2010-04 Mirakabad, Mohammad Reza Zare QA75.5-76.95 Electronic computers. Computer science Privacy preservation in data publishing aims at the publication of data with protecting private information. Although removing direct identifier of individuals seems to protect their anonymity at first glance, private information may be revealed by joining the data to other external data. Privacy preservation addresses this privacy issue by introducing k-anonymity and l-diversity principles. Accordingly, privacy preservation techniques, namely k-anonymization and l-diversification algorithms, transform data (for example by generalization, suppression or fragmentation) to protect identity and sensitive information of individuals respectively. 2010-04 Thesis http://eprints.usm.my/42061/ http://eprints.usm.my/42061/1/MOHAMMAD_REZA_ZARE_MIRAKABAD.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Mirakabad, Mohammad Reza Zare A Framework For Privacy Diagnosis And Preservation In Data Publishing
description	Privacy preservation in data publishing aims at the publication of data with protecting private information. Although removing direct identifier of individuals seems to protect their anonymity at first glance, private information may be revealed by joining the data to other external data. Privacy preservation addresses this privacy issue by introducing k-anonymity and l-diversity principles. Accordingly, privacy preservation techniques, namely k-anonymization and l-diversification algorithms, transform data (for example by generalization, suppression or fragmentation) to protect identity and sensitive information of individuals respectively.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mirakabad, Mohammad Reza Zare
author_facet	Mirakabad, Mohammad Reza Zare
author_sort	Mirakabad, Mohammad Reza Zare
title	A Framework For Privacy Diagnosis And Preservation In Data Publishing
title_short	A Framework For Privacy Diagnosis And Preservation In Data Publishing
title_full	A Framework For Privacy Diagnosis And Preservation In Data Publishing
title_fullStr	A Framework For Privacy Diagnosis And Preservation In Data Publishing
title_full_unstemmed	A Framework For Privacy Diagnosis And Preservation In Data Publishing
title_sort	framework for privacy diagnosis and preservation in data publishing
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Komputer
publishDate	2010
url	http://eprints.usm.my/42061/1/MOHAMMAD_REZA_ZARE_MIRAKABAD.pdf
_version_	1747821019350958080

A Framework For Privacy Diagnosis And Preservation In Data Publishing

Similar Items