Privacy-preserving data analysis with differential privacy

Bibliographic Details
Main Author: Sørensen, Frederikke Bruhn
Publication Date: 2022
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/172347
Summary: There is a growing demand for statistical data analysis as it is being adopted by many businesses for a variety of purposes. For that reason, there has been a lot of attention recently focused on the concept of differential privacy as a standard model for ensuring privacy when personal information is used and sold for secondary purposes. In this work, we explore the available privacy-preserving mechanisms and test one of the more mature techniques in an experiment. In the end, we present the findings and conclude on the practicality and accuracy of the technique.
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spelling Privacy-preserving data analysis with differential privacyCryptographyStatistical dataEpsilonDifferential privacyDomínio/Área Científica::Ciências Sociais::Economia e GestãoThere is a growing demand for statistical data analysis as it is being adopted by many businesses for a variety of purposes. For that reason, there has been a lot of attention recently focused on the concept of differential privacy as a standard model for ensuring privacy when personal information is used and sold for secondary purposes. In this work, we explore the available privacy-preserving mechanisms and test one of the more mature techniques in an experiment. In the end, we present the findings and conclude on the practicality and accuracy of the technique.Preguiça, Nuno Manuel RibeiroRUNSørensen, Frederikke Bruhn2024-09-25T08:45:53Z2023-01-232022-12-162023-01-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/172347TID:203316118enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-09-30T01:42:32Zoai:run.unl.pt:10362/172347Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:54:20.338287Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Privacy-preserving data analysis with differential privacy
title Privacy-preserving data analysis with differential privacy
spellingShingle Privacy-preserving data analysis with differential privacy
Sørensen, Frederikke Bruhn
Cryptography
Statistical data
Epsilon
Differential privacy
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Privacy-preserving data analysis with differential privacy
title_full Privacy-preserving data analysis with differential privacy
title_fullStr Privacy-preserving data analysis with differential privacy
title_full_unstemmed Privacy-preserving data analysis with differential privacy
title_sort Privacy-preserving data analysis with differential privacy
author Sørensen, Frederikke Bruhn
author_facet Sørensen, Frederikke Bruhn
author_role author
dc.contributor.none.fl_str_mv Preguiça, Nuno Manuel Ribeiro
RUN
dc.contributor.author.fl_str_mv Sørensen, Frederikke Bruhn
dc.subject.por.fl_str_mv Cryptography
Statistical data
Epsilon
Differential privacy
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Cryptography
Statistical data
Epsilon
Differential privacy
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description There is a growing demand for statistical data analysis as it is being adopted by many businesses for a variety of purposes. For that reason, there has been a lot of attention recently focused on the concept of differential privacy as a standard model for ensuring privacy when personal information is used and sold for secondary purposes. In this work, we explore the available privacy-preserving mechanisms and test one of the more mature techniques in an experiment. In the end, we present the findings and conclude on the practicality and accuracy of the technique.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-16
2023-01-23
2023-01-23T00:00:00Z
2024-09-25T08:45:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/172347
TID:203316118
url http://hdl.handle.net/10362/172347
identifier_str_mv TID:203316118
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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