Assuring data privacy with PRIVAS - a tool for data publishers
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10198/23118 |
Resumo: | The technology of nowadays allows to easily extract, store, process and use information about individuals and organizations. The increase of the amount of data collected and its value to our society was, at first, a great advance that could be used to optimize processes, find solutions and support decisions but also brought new problems related with lack of privacy and malicious attacks to confidential information. In this paper, a tool to anonymize databases is presented. It can be used by data publishers to protect information from attacks controlling the desired privacy level and the data usefulness. In order to specify these requirements a DSL (PrivasL) is used and the automatization of repository transformation, that is based on language processing techniques, is the novelty of this work. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Assuring data privacy with PRIVAS - a tool for data publishersPrivacyRepositoriesPPDPAnonymizationDSLThe technology of nowadays allows to easily extract, store, process and use information about individuals and organizations. The increase of the amount of data collected and its value to our society was, at first, a great advance that could be used to optimize processes, find solutions and support decisions but also brought new problems related with lack of privacy and malicious attacks to confidential information. In this paper, a tool to anonymize databases is presented. It can be used by data publishers to protect information from attacks controlling the desired privacy level and the data usefulness. In order to specify these requirements a DSL (PrivasL) is used and the automatization of repository transformation, that is based on language processing techniques, is the novelty of this work.FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019.IADISBiblioteca Digital do IPBMiguel, JoanaPereira, Maria JoãoHenriques, PedroBerón, Mario2021-01-26T11:39:22Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/23118engMiguel, Joana; Pereira, Maria João; Henriques, Pedro; Berón, Mario (2019). Assuring data privacy with PRIVAS - a tool for data publishers. IADIS International Journal on Computer Science and Information Systems. 14:2, p. 41-58info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T10:50:48Zoai:bibliotecadigital.ipb.pt:10198/23118Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:13:50.968078Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Assuring data privacy with PRIVAS - a tool for data publishers |
title |
Assuring data privacy with PRIVAS - a tool for data publishers |
spellingShingle |
Assuring data privacy with PRIVAS - a tool for data publishers Miguel, Joana Privacy Repositories PPDP Anonymization DSL |
title_short |
Assuring data privacy with PRIVAS - a tool for data publishers |
title_full |
Assuring data privacy with PRIVAS - a tool for data publishers |
title_fullStr |
Assuring data privacy with PRIVAS - a tool for data publishers |
title_full_unstemmed |
Assuring data privacy with PRIVAS - a tool for data publishers |
title_sort |
Assuring data privacy with PRIVAS - a tool for data publishers |
author |
Miguel, Joana |
author_facet |
Miguel, Joana Pereira, Maria João Henriques, Pedro Berón, Mario |
author_role |
author |
author2 |
Pereira, Maria João Henriques, Pedro Berón, Mario |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Miguel, Joana Pereira, Maria João Henriques, Pedro Berón, Mario |
dc.subject.por.fl_str_mv |
Privacy Repositories PPDP Anonymization DSL |
topic |
Privacy Repositories PPDP Anonymization DSL |
description |
The technology of nowadays allows to easily extract, store, process and use information about individuals and organizations. The increase of the amount of data collected and its value to our society was, at first, a great advance that could be used to optimize processes, find solutions and support decisions but also brought new problems related with lack of privacy and malicious attacks to confidential information. In this paper, a tool to anonymize databases is presented. It can be used by data publishers to protect information from attacks controlling the desired privacy level and the data usefulness. In order to specify these requirements a DSL (PrivasL) is used and the automatization of repository transformation, that is based on language processing techniques, is the novelty of this work. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2019-01-01T00:00:00Z 2021-01-26T11:39:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10198/23118 |
url |
http://hdl.handle.net/10198/23118 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Miguel, Joana; Pereira, Maria João; Henriques, Pedro; Berón, Mario (2019). Assuring data privacy with PRIVAS - a tool for data publishers. IADIS International Journal on Computer Science and Information Systems. 14:2, p. 41-58 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IADIS |
publisher.none.fl_str_mv |
IADIS |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1817553674451288064 |