State of The Art of Secure Multiparty Computation for Privacy Preserving Data Mining

Detalhes bibliográficos
Autor(a) principal: Priesnitz Filho, Walter
Data de Publicação: 2017
Outros Autores: da Cruz Ribeiro, Carlos Nuno
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista GEINTEC: Gestão. Inovação e Tecnologias
Texto Completo: http://www.revistageintec.net/index.php/revista/article/view/1213
Resumo: In this paper we present the State of the Art in Secure Multiparty Computation Protocols to PrivacyPreserving Data Mining. Basic definitions on the main topics are presented as some proposed protocolsin the reviewed literature. We also briefly discuss the authors contribution under practicalintegration perspective and points some issues on using SMC in PPDM.
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spelling State of The Art of Secure Multiparty Computation for Privacy Preserving Data MiningIn this paper we present the State of the Art in Secure Multiparty Computation Protocols to PrivacyPreserving Data Mining. Basic definitions on the main topics are presented as some proposed protocolsin the reviewed literature. We also briefly discuss the authors contribution under practicalintegration perspective and points some issues on using SMC in PPDM.API - Associação Acadêmica de Propriedade IntelectualPriesnitz Filho, Walterda Cruz Ribeiro, Carlos Nuno2017-12-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por paresapplication/pdfhttp://www.revistageintec.net/index.php/revista/article/view/121310.7198/geintec.v7i4.1213Revista GEINTEC - Gestão, Inovação e Tecnologias; v. 7, n. 4 (2017); 4131-41482237-0722reponame:Revista GEINTEC: Gestão. Inovação e Tecnologiasinstname:Ensino Superior do Piauí (AESPI)instacron:AESPIenghttp://www.revistageintec.net/index.php/revista/article/view/1213/838Direitos autorais 2017 Revista GEINTEC - Gestão, Inovação e Tecnologiashttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess2019-10-06T00:04:47Zoai:ojs.pkp.sfu.ca:article/1213Revistahttp://www.revistageintec.net/index.php/revista/oai2237-07222237-0722opendoar:null2020-06-25 22:43:03.18Revista GEINTEC: Gestão. Inovação e Tecnologias - Ensino Superior do Piauí (AESPI)true
dc.title.none.fl_str_mv State of The Art of Secure Multiparty Computation for Privacy Preserving Data Mining
title State of The Art of Secure Multiparty Computation for Privacy Preserving Data Mining
spellingShingle State of The Art of Secure Multiparty Computation for Privacy Preserving Data Mining
Priesnitz Filho, Walter
title_short State of The Art of Secure Multiparty Computation for Privacy Preserving Data Mining
title_full State of The Art of Secure Multiparty Computation for Privacy Preserving Data Mining
title_fullStr State of The Art of Secure Multiparty Computation for Privacy Preserving Data Mining
title_full_unstemmed State of The Art of Secure Multiparty Computation for Privacy Preserving Data Mining
title_sort State of The Art of Secure Multiparty Computation for Privacy Preserving Data Mining
author Priesnitz Filho, Walter
author_facet Priesnitz Filho, Walter
da Cruz Ribeiro, Carlos Nuno
author_role author
author2 da Cruz Ribeiro, Carlos Nuno
author2_role author
dc.contributor.none.fl_str_mv
dc.contributor.author.fl_str_mv Priesnitz Filho, Walter
da Cruz Ribeiro, Carlos Nuno
dc.subject.none.fl_str_mv
dc.description.none.fl_txt_mv In this paper we present the State of the Art in Secure Multiparty Computation Protocols to PrivacyPreserving Data Mining. Basic definitions on the main topics are presented as some proposed protocolsin the reviewed literature. We also briefly discuss the authors contribution under practicalintegration perspective and points some issues on using SMC in PPDM.
description In this paper we present the State of the Art in Secure Multiparty Computation Protocols to PrivacyPreserving Data Mining. Basic definitions on the main topics are presented as some proposed protocolsin the reviewed literature. We also briefly discuss the authors contribution under practicalintegration perspective and points some issues on using SMC in PPDM.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-27
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.revistageintec.net/index.php/revista/article/view/1213
10.7198/geintec.v7i4.1213
url http://www.revistageintec.net/index.php/revista/article/view/1213
identifier_str_mv 10.7198/geintec.v7i4.1213
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.revistageintec.net/index.php/revista/article/view/1213/838
dc.rights.driver.fl_str_mv Direitos autorais 2017 Revista GEINTEC - Gestão, Inovação e Tecnologias
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2017 Revista GEINTEC - Gestão, Inovação e Tecnologias
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv API - Associação Acadêmica de Propriedade Intelectual
publisher.none.fl_str_mv API - Associação Acadêmica de Propriedade Intelectual
dc.source.none.fl_str_mv Revista GEINTEC - Gestão, Inovação e Tecnologias; v. 7, n. 4 (2017); 4131-4148
2237-0722
reponame:Revista GEINTEC: Gestão. Inovação e Tecnologias
instname:Ensino Superior do Piauí (AESPI)
instacron:AESPI
reponame_str Revista GEINTEC: Gestão. Inovação e Tecnologias
collection Revista GEINTEC: Gestão. Inovação e Tecnologias
instname_str Ensino Superior do Piauí (AESPI)
instacron_str AESPI
institution AESPI
repository.name.fl_str_mv Revista GEINTEC: Gestão. Inovação e Tecnologias - Ensino Superior do Piauí (AESPI)
repository.mail.fl_str_mv
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