Data Privacy Protection for the Cloud

Detalhes bibliográficos
Autor(a) principal: Silva, Paulo Miguel Guimarães da
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/93238
Resumo: Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.
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spelling Data Privacy Protection for the CloudData Concealing and Privacy”DNA-inspired concealing algorithm”Cloud ComputingDissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.Privacy is for a long time a concern when data is being discussed. Nowadays, with an increasing amount of personal and confidential data being transmitted and stored online, data curators have to assure certain guarantees of data protection and privacy. This Master Dissertation presents a background of anonymization and concealing techniques. Their characteristics and capabilities are described, as well as tools to implement and evaluate anonymization and concealing. The evaluation of the applicability of the DNA-inspired concealing algorithm is the main objective of this work. Usually, various metrics are used to measure aspects like risk or utility of the anonymized data. This work presents a new approach of evaluating how well concealed is the data. By using the Cosine Similarity as a measure of similarity between the private and concealed data, this metric proves its worthiness not only in information retrieval or text mining applications but also in the analysis of concealed or anonymized files. Nowadays there is a continuously growing demand for Cloud services and storage. The evaluation in the Master Dissertation is directed to find how suitable is the application of the DNA-inspired concealing algorithm over the data being stored or transmitted in the Cloud. The evaluation is made by analyzing the concealing results as well as the performance of the algorithm itself. The application of the algorithm is made over various texts and audio files with different characteristics, like size or contents. However, both file types are unstructured data. Which is an advantage for being accepted as an input by the algorithm. Unlike many anonymization algorithms which demand structured data. With the final results and analysis, it will be possible to determine the applicability and performance of the referred algorithm for a possible integration with the Cloud.2016-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10316/93238http://hdl.handle.net/10316/93238engSilva, Paulo Miguel Guimarães dainfo: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:RCAAP2022-05-25T06:30:01Zoai:estudogeral.uc.pt:10316/93238Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:12:10.037753Repositório 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 Data Privacy Protection for the Cloud
title Data Privacy Protection for the Cloud
spellingShingle Data Privacy Protection for the Cloud
Silva, Paulo Miguel Guimarães da
Data Concealing and Privacy
”DNA-inspired concealing algorithm”
Cloud Computing
title_short Data Privacy Protection for the Cloud
title_full Data Privacy Protection for the Cloud
title_fullStr Data Privacy Protection for the Cloud
title_full_unstemmed Data Privacy Protection for the Cloud
title_sort Data Privacy Protection for the Cloud
author Silva, Paulo Miguel Guimarães da
author_facet Silva, Paulo Miguel Guimarães da
author_role author
dc.contributor.author.fl_str_mv Silva, Paulo Miguel Guimarães da
dc.subject.por.fl_str_mv Data Concealing and Privacy
”DNA-inspired concealing algorithm”
Cloud Computing
topic Data Concealing and Privacy
”DNA-inspired concealing algorithm”
Cloud Computing
description Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.
publishDate 2016
dc.date.none.fl_str_mv 2016-07-01
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/10316/93238
http://hdl.handle.net/10316/93238
url http://hdl.handle.net/10316/93238
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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
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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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