A posteriori disclosure risk measure for tabular data based on conditional entropy

Statistical database protection, also known as Statistical Disclosure Control (SDC), is a part of information security which tries to prevent published statistical information (tables, individual records) from disclosing the contribution of specific respondents. This paper deals with the assessment...

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Detalhes bibliográficos
Autores: Oganian, Anna, Domingo-Ferrer, Josep|||https://ca.wikipedia.org/wiki/Josep_Domingo-Ferrer
Formato: artículo
Fecha de publicación:2003
País:España
Recursos:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:93740
Acesso em linha:https://ddd.uab.cat/record/93740
Access Level:acceso abierto
Palavra-chave:Statistical disclosure control
Statistical databases
Tabular data
Security
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spelling A posteriori disclosure risk measure for tabular data based on conditional entropyOganian, AnnaDomingo-Ferrer, Josep|||https://ca.wikipedia.org/wiki/Josep_Domingo-FerrerStatistical disclosure controlStatistical databasesTabular dataSecurityStatistical database protection, also known as Statistical Disclosure Control (SDC), is a part of information security which tries to prevent published statistical information (tables, individual records) from disclosing the contribution of specific respondents. This paper deals with the assessment of the disclosure risk associated to the release of tabular data. So-called sensitivity rules are currently being used to measure the disclosure risk for tables. These rules operate on an a priori basis: the data are examined and the rules are used to decide whether the data can be released as they stand or should rather be protected. In this paper, we propose to complement a priori risk assessment with a posteriori risk assessment in order to achieve a higher level of security, that is, we propose to take the protected information into account when measuring the disclosure risk. The proposed a posteriori disclosure risk measure is compatible with a broad class of disclosure protection methods and can be extended for computing disclosure risk for a set of linked tables. In the case of linked table protection via cell suppression, the proposed measure allows detection of secondary suppression patterns which offer more protection than others. 22003-01-0120032003-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/93740reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:937402026-06-06T12:50:31Z
dc.title.none.fl_str_mv A posteriori disclosure risk measure for tabular data based on conditional entropy
title A posteriori disclosure risk measure for tabular data based on conditional entropy
spellingShingle A posteriori disclosure risk measure for tabular data based on conditional entropy
Oganian, Anna
Statistical disclosure control
Statistical databases
Tabular data
Security
title_short A posteriori disclosure risk measure for tabular data based on conditional entropy
title_full A posteriori disclosure risk measure for tabular data based on conditional entropy
title_fullStr A posteriori disclosure risk measure for tabular data based on conditional entropy
title_full_unstemmed A posteriori disclosure risk measure for tabular data based on conditional entropy
title_sort A posteriori disclosure risk measure for tabular data based on conditional entropy
dc.creator.none.fl_str_mv Oganian, Anna
Domingo-Ferrer, Josep|||https://ca.wikipedia.org/wiki/Josep_Domingo-Ferrer
author Oganian, Anna
author_facet Oganian, Anna
Domingo-Ferrer, Josep|||https://ca.wikipedia.org/wiki/Josep_Domingo-Ferrer
author_role author
author2 Domingo-Ferrer, Josep|||https://ca.wikipedia.org/wiki/Josep_Domingo-Ferrer
author2_role author
dc.subject.none.fl_str_mv Statistical disclosure control
Statistical databases
Tabular data
Security
topic Statistical disclosure control
Statistical databases
Tabular data
Security
description Statistical database protection, also known as Statistical Disclosure Control (SDC), is a part of information security which tries to prevent published statistical information (tables, individual records) from disclosing the contribution of specific respondents. This paper deals with the assessment of the disclosure risk associated to the release of tabular data. So-called sensitivity rules are currently being used to measure the disclosure risk for tables. These rules operate on an a priori basis: the data are examined and the rules are used to decide whether the data can be released as they stand or should rather be protected. In this paper, we propose to complement a priori risk assessment with a posteriori risk assessment in order to achieve a higher level of security, that is, we propose to take the protected information into account when measuring the disclosure risk. The proposed a posteriori disclosure risk measure is compatible with a broad class of disclosure protection methods and can be extended for computing disclosure risk for a set of linked tables. In the case of linked table protection via cell suppression, the proposed measure allows detection of secondary suppression patterns which offer more protection than others.
publishDate 2003
dc.date.none.fl_str_mv 2
2003-01-01
2003
2003-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/93740
url https://ddd.uab.cat/record/93740
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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