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Data Anonymization: K-anonymity Sensitivity Analysis

2020-06Conference object Open access
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dc.contributor.authorSantos, Wilson
dc.contributor.authorSousa, Gonçalo
dc.contributor.authorPrata, Paula
dc.contributor.authorFerrão, Maria Eugénia
dc.date.accessioned2020-10-21T09:56:01Z
dc.date.available2020-10-21T09:56:01Z
dc.date.issued2020-06
dc.description.abstractThese days the digitization process is everywhere, spreading also across central governments and local authorities. It is hoped that, using open government data for scientific research purposes, the public good and social justice might be enhanced. Taking into account the European General Data Protection Regulation recently adopted, the big challenge in Portugal and other European countries, is how to provide the right balance between personal data privacy and data value for research. This work presents a sensitivity study of data anonymization procedure applied to a real open government data available from the Brazilian higher education evaluation system. The ARX k-anonymization algorithm, with and without generalization of some research value variables, was performed. The analysis of the amount of data / information lost and the risk of re-identification suggest that the anonymization process may lead to the under-representation of minorities and sociodemographic disadvantaged groups. It will enable scientists to improve the balance among risk, data usability, and contributions for the public good policies and practices.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.23919/CISTI49556.2020.9141044pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/10475
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAISTIpt_PT
dc.relationInstituto de Telecomunicações
dc.relationResearch in Economics and Mathematics
dc.subjectGDPRpt_PT
dc.subjectPersonal data protectionpt_PT
dc.subjectARXpt_PT
dc.subjectData anonimizationpt_PT
dc.subjectK-anonymitypt_PT
dc.titleData Anonymization: K-anonymity Sensitivity Analysispt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleInstituto de Telecomunicações
oaire.awardTitleResearch in Economics and Mathematics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05069%2F2020/PT
oaire.citation.conferencePlaceSevilla,Spainpt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNamePrata
person.familyNameFerrão
person.givenNamePaula
person.givenNameMaria Eugénia
person.identifier.ciencia-id651F-C1C8-44AD
person.identifier.orcid0000-0002-3072-0186
person.identifier.orcid0000-0002-1317-0629
person.identifier.ridA-2665-2011
person.identifier.scopus-author-id6506143567
person.identifier.scopus-author-id24075949800
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscovery138a0dac-5e5d-466c-901d-4ed34f860403
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