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Assuring data privacy with PRIVAS - a tool for data publishers

2019Journal article Open access
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dc.contributor.authorMiguel, Joana
dc.contributor.authorPereira, Maria João
dc.contributor.authorHenriques, Pedro
dc.contributor.authorBerón, Mario
dc.date.accessioned2021-01-26T11:39:22Z
dc.date.available2021-01-26T11:39:22Z
dc.date.issued2019
dc.description.abstractThe 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.pt_PT
dc.description.sponsorshipFCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019.
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMiguel, 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. 41-58pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/23118
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIADISpt_PT
dc.relationALGORITMI Research Centre
dc.relation.publisherversionhttp://www.iadisportal.org/ijcsis/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPrivacypt_PT
dc.subjectRepositoriespt_PT
dc.subjectPPDPpt_PT
dc.subjectAnonymizationpt_PT
dc.subjectDSLpt_PT
dc.titleAssuring data privacy with PRIVAS - a tool for data publisherspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleALGORITMI Research Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F00319%2F2019/PT
oaire.citation.endPage58pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage41pt_PT
oaire.citation.titleIADIS International Journal on Computer Science and Information Systemspt_PT
oaire.citation.volume14pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNamePereira
person.givenNameMaria João
person.identifier.ciencia-idC912-4A49-A3B3
person.identifier.orcid0000-0001-6323-0071
person.identifier.ridG-5999-2011
person.identifier.scopus-author-id13907870300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationa20ccfa6-4e84-4c25-ab0d-8d6ba196ffc2
relation.isAuthorOfPublication.latestForDiscoverya20ccfa6-4e84-4c25-ab0d-8d6ba196ffc2
relation.isProjectOfPublication650737c6-8fcd-4524-8c8f-2daa6d67b080
relation.isProjectOfPublication.latestForDiscovery650737c6-8fcd-4524-8c8f-2daa6d67b080

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