Big Data: diretrizes e t??cnicas para preserva????o da privacidade
Ano de defesa: | 2016 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Cat??lica de Bras??lia
|
Programa de Pós-Graduação: |
Programa Strictu Sensu em Gest??o do Conhecimento e da Tecnologia da Informa????o
|
Departamento: |
Escola de Educa????o, Tecnologia e Comunica????o
|
País: |
Brasil
|
Palavras-chave em Português: | |
Área do conhecimento CNPq: | |
Resumo em Inglês: | Success in business requires understanding and application of innovative strategic and business solutions geared to the customer with the use of competitive and strategic intelligence, based on information and knowledge for adequate and agile decision support. Big Data is a powerful tool to achieve these goals. The value provided by this approach considers the improvement of products and services, operational efficiency, increased production, overcoming the competition, resulting in offering best solutions for customers issues in a satisfactory and differentiated way. This work intends to present guidelines and techniques concerning privacy preserving in the use of Big Data. Business success strongly depends on how organizations deal with policies linked to storing personal data from its customers, and how they keep a balance between getting value and assuring the citizens right to control exposure and availability of their own data. A qualitative and bibliographic approach was used as a research method through literature review of issues Big Data and privacy. The results confirmed the existence of guidelines represented by laws and regulations applied in Europe, USA, Asia, as well as techniques for preserving privacy, such as the anonymisation of data and differential privacy, including application to Big Data. As future study concerning the definition of property rights and privacy, new approaches on business models that involve Internet of Things can be developed. |
Link de acesso: | https://bdtd.ucb.br:8443/jspui/handle/tede/1972 |
Resumo: | Success in business requires understanding and application of innovative strategic and business solutions geared to the customer with the use of competitive and strategic intelligence, based on information and knowledge for adequate and agile decision support. Big Data is a powerful tool to achieve these goals. The value provided by this approach considers the improvement of products and services, operational efficiency, increased production, overcoming the competition, resulting in offering best solutions for customers issues in a satisfactory and differentiated way. This work intends to present guidelines and techniques concerning privacy preserving in the use of Big Data. Business success strongly depends on how organizations deal with policies linked to storing personal data from its customers, and how they keep a balance between getting value and assuring the citizens right to control exposure and availability of their own data. A qualitative and bibliographic approach was used as a research method through literature review of issues Big Data and privacy. The results confirmed the existence of guidelines represented by laws and regulations applied in Europe, USA, Asia, as well as techniques for preserving privacy, such as the anonymisation of data and differential privacy, including application to Big Data. As future study concerning the definition of property rights and privacy, new approaches on business models that involve Internet of Things can be developed. |
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Guadagnin, Renato da VeigaLicks, Rog??rio Augusto de Souza2016-10-28T18:37:08Z2016-02-26LICKS, Rog??rio Augusto de Souza. Big Data: Diretrizes e T??cnicas para Preserva????o da Privacidade. 2016. 159 p. Disserta????o Mestrado em Gest??o do Conhecimento e da Tecnologia da Informa????o. Universidade Cat??lica de Bras??lia. Bras??lia DF. 2016.https://bdtd.ucb.br:8443/jspui/handle/tede/1972Success in business requires understanding and application of innovative strategic and business solutions geared to the customer with the use of competitive and strategic intelligence, based on information and knowledge for adequate and agile decision support. Big Data is a powerful tool to achieve these goals. The value provided by this approach considers the improvement of products and services, operational efficiency, increased production, overcoming the competition, resulting in offering best solutions for customers issues in a satisfactory and differentiated way. This work intends to present guidelines and techniques concerning privacy preserving in the use of Big Data. Business success strongly depends on how organizations deal with policies linked to storing personal data from its customers, and how they keep a balance between getting value and assuring the citizens right to control exposure and availability of their own data. A qualitative and bibliographic approach was used as a research method through literature review of issues Big Data and privacy. The results confirmed the existence of guidelines represented by laws and regulations applied in Europe, USA, Asia, as well as techniques for preserving privacy, such as the anonymisation of data and differential privacy, including application to Big Data. As future study concerning the definition of property rights and privacy, new approaches on business models that involve Internet of Things can be developed.O ??xito no universo empresarial passa pela compreens??o e aplica????o de solu????es estrat??gicas e negociais inovadoras voltadas ao cliente, com a utiliza????o das intelig??ncias competitiva e estrat??gica, por meio da produ????o de informa????o e conhecimento para suporte adequado e ??gil ?? decis??o e apoio aos neg??cios. O Big Data tem sido apontado como poderoso instrumento para o alcance desses objetivos. O valor proporcionado por essa abordagem considera o aperfei??oamento de produtos e servi??os, efici??ncia operacional, aumento da produ????o, supera????o da concorr??ncia, redundando na oferta de solu????es mais adequadas aos clientes de maneira satisfat??ria e diferenciada. Este trabalho tem o objetivo de levantar diretrizes e t??cnicas atinentes ?? preserva????o da privacidade no uso do Big Data. O sucesso empresarial depende de como as organiza????es lidam com pol??ticas associadas ?? reserva de informa????es pessoais de seus clientes, na busca do equil??brio entre a obten????o de valor e o respeito do direito dos consumidores quanto ao controle da exposi????o e a disponibilidade de dados acerca de si. Como m??todo de pesquisa foi utilizada abordagem qualitativa e bibliogr??fica, por meio da revis??o da literatura dos temas Big Data e privacidade. Conclui-se pela exist??ncia de diretrizes representadas por leis e regulamentos aplicadas na Europa, Estados Unidos, ??sia, al??m de t??cnicas para a preserva????o da privacidade como a anonimiza????o de dados e privacidade diferencial, inclusive com aplica????o ao Big Data. Como trabalho futuro recomenda-se, no tocante ?? defini????o de direitos de propriedade e privacidade, o aprofundamento de estudos dos modelos de neg??cio que envolvem a Internet das Coisas, dentre outros.Submitted by Kelson Anthony de Menezes (kelson@ucb.br) on 2016-10-28T18:37:08Z No. of bitstreams: 1 RogerioAugustodeSouzaLicksDissertacao2016.pdf: 9516038 bytes, checksum: 1d58f0b4f2b6f648709a37de38055ad9 (MD5)Made available in DSpace on 2016-10-28T18:37:08Z (GMT). No. of bitstreams: 1 RogerioAugustodeSouzaLicksDissertacao2016.pdf: 9516038 bytes, checksum: 1d58f0b4f2b6f648709a37de38055ad9 (MD5) Previous issue date: 2016-02-26application/pdfhttps://bdtd.ucb.br:8443/jspui/retrieve/3996/RogerioAugustodeSouzaLicksDissertacao2016.pdf.jpgporUniversidade Cat??lica de Bras??liaPrograma Strictu Sensu em Gest??o do Conhecimento e da Tecnologia da Informa????oUCBBrasilEscola de Educa????o, Tecnologia e Comunica????oTecnologia da informa????oBig DataPrivacidadeDiretrizesT??cnicasGest??o do ConhecimentoCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOBig Data: diretrizes e t??cnicas para preserva????o da privacidadeinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis513328554106304072350050060011824625649106417193671711205811204509info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UCBinstname:Universidade Católica de Brasíliainstacron:UCBTHUMBNAILRogerioAugustodeSouzaLicksDissertacao2016.pdf.jpgRogerioAugustodeSouzaLicksDissertacao2016.pdf.jpgimage/jpeg6568https://bdtd.ucb.br:8443/jspui/bitstream/tede/1972/3/RogerioAugustodeSouzaLicksDissertacao2016.pdf.jpgd1593a534f075b0c8554280d772b5f0eMD53ORIGINALRogerioAugustodeSouzaLicksDissertacao2016.pdfRogerioAugustodeSouzaLicksDissertacao2016.pdfapplication/pdf9516038https://bdtd.ucb.br:8443/jspui/bitstream/tede/1972/2/RogerioAugustodeSouzaLicksDissertacao2016.pdf1d58f0b4f2b6f648709a37de38055ad9MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82089https://bdtd.ucb.br:8443/jspui/bitstream/tede/1972/1/license.txt7b5ba3d2445355f386edab96125d42b7MD51tede/1972oai:bdtd.ucb.br:tede/19722016-10-29 01:04:38.22Biblioteca Digital de Disserta????es da Universidade Cat??lica de Bras??lia - UCBsdi@ucb.brTk9UQTogQ09MT1FVRSBBUVVJIEEgU1VBIFBSP1BSSUEgTElDRU4/QQpFc3RhIGxpY2VuP2EgZGUgZXhlbXBsbyA/IGZvcm5lY2lkYSBhcGVuYXMgcGFyYSBmaW5zIGluZm9ybWF0aXZvcy4KCkxJQ0VOP0EgREUgRElTVFJJQlVJPz9PIE4/Ty1FWENMVVNJVkEKCkNvbSBhIGFwcmVzZW50YT8/byBkZXN0YSBsaWNlbj9hLCB2b2M/IChvIGF1dG9yIChlcykgb3UgbyB0aXR1bGFyIGRvcyBkaXJlaXRvcyBkZSBhdXRvcikgY29uY2VkZSA/IFVuaXZlcnNpZGFkZSAKWFhYIChTaWdsYSBkYSBVbml2ZXJzaWRhZGUpIG8gZGlyZWl0byBuP28tZXhjbHVzaXZvIGRlIHJlcHJvZHV6aXIsICB0cmFkdXppciAoY29uZm9ybWUgZGVmaW5pZG8gYWJhaXhvKSwgZS9vdSAKZGlzdHJpYnVpciBhIHN1YSB0ZXNlIG91IGRpc3NlcnRhPz9vIChpbmNsdWluZG8gbyByZXN1bW8pIHBvciB0b2RvIG8gbXVuZG8gbm8gZm9ybWF0byBpbXByZXNzbyBlIGVsZXRyP25pY28gZSAKZW0gcXVhbHF1ZXIgbWVpbywgaW5jbHVpbmRvIG9zIGZvcm1hdG9zID91ZGlvIG91IHY/ZGVvLgoKVm9jPyBjb25jb3JkYSBxdWUgYSBTaWdsYSBkZSBVbml2ZXJzaWRhZGUgcG9kZSwgc2VtIGFsdGVyYXIgbyBjb250ZT9kbywgdHJhbnNwb3IgYSBzdWEgdGVzZSBvdSBkaXNzZXJ0YT8/byAKcGFyYSBxdWFscXVlciBtZWlvIG91IGZvcm1hdG8gcGFyYSBmaW5zIGRlIHByZXNlcnZhPz9vLgoKVm9jPyB0YW1iP20gY29uY29yZGEgcXVlIGEgU2lnbGEgZGUgVW5pdmVyc2lkYWRlIHBvZGUgbWFudGVyIG1haXMgZGUgdW1hIGM/cGlhIGEgc3VhIHRlc2Ugb3UgCmRpc3NlcnRhPz9vIHBhcmEgZmlucyBkZSBzZWd1cmFuP2EsIGJhY2stdXAgZSBwcmVzZXJ2YT8/by4KClZvYz8gZGVjbGFyYSBxdWUgYSBzdWEgdGVzZSBvdSBkaXNzZXJ0YT8/byA/IG9yaWdpbmFsIGUgcXVlIHZvYz8gdGVtIG8gcG9kZXIgZGUgY29uY2VkZXIgb3MgZGlyZWl0b3MgY29udGlkb3MgCm5lc3RhIGxpY2VuP2EuIFZvYz8gdGFtYj9tIGRlY2xhcmEgcXVlIG8gZGVwP3NpdG8gZGEgc3VhIHRlc2Ugb3UgZGlzc2VydGE/P28gbj9vLCBxdWUgc2VqYSBkZSBzZXUgCmNvbmhlY2ltZW50bywgaW5mcmluZ2UgZGlyZWl0b3MgYXV0b3JhaXMgZGUgbmluZ3U/bS4KCkNhc28gYSBzdWEgdGVzZSBvdSBkaXNzZXJ0YT8/byBjb250ZW5oYSBtYXRlcmlhbCBxdWUgdm9jPyBuP28gcG9zc3VpIGEgdGl0dWxhcmlkYWRlIGRvcyBkaXJlaXRvcyBhdXRvcmFpcywgdm9jPyAKZGVjbGFyYSBxdWUgb2J0ZXZlIGEgcGVybWlzcz9vIGlycmVzdHJpdGEgZG8gZGV0ZW50b3IgZG9zIGRpcmVpdG9zIGF1dG9yYWlzIHBhcmEgY29uY2VkZXIgPyBTaWdsYSBkZSBVbml2ZXJzaWRhZGUgCm9zIGRpcmVpdG9zIGFwcmVzZW50YWRvcyBuZXN0YSBsaWNlbj9hLCBlIHF1ZSBlc3NlIG1hdGVyaWFsIGRlIHByb3ByaWVkYWRlIGRlIHRlcmNlaXJvcyBlc3Q/IGNsYXJhbWVudGUgCmlkZW50aWZpY2FkbyBlIHJlY29uaGVjaWRvIG5vIHRleHRvIG91IG5vIGNvbnRlP2RvIGRhIHRlc2Ugb3UgZGlzc2VydGE/P28gb3JhIGRlcG9zaXRhZGEuCgpDQVNPIEEgVEVTRSBPVSBESVNTRVJUQT8/TyBPUkEgREVQT1NJVEFEQSBURU5IQSBTSURPIFJFU1VMVEFETyBERSBVTSBQQVRST0M/TklPIE9VIApBUE9JTyBERSBVTUEgQUc/TkNJQSBERSBGT01FTlRPIE9VIE9VVFJPIE9SR0FOSVNNTyBRVUUgTj9PIFNFSkEgQSBTSUdMQSBERSAKVU5JVkVSU0lEQURFLCBWT0M/IERFQ0xBUkEgUVVFIFJFU1BFSVRPVSBUT0RPUyBFIFFVQUlTUVVFUiBESVJFSVRPUyBERSBSRVZJUz9PIENPTU8gClRBTUI/TSBBUyBERU1BSVMgT0JSSUdBPz9FUyBFWElHSURBUyBQT1IgQ09OVFJBVE8gT1UgQUNPUkRPLgoKQSBTaWdsYSBkZSBVbml2ZXJzaWRhZGUgc2UgY29tcHJvbWV0ZSBhIGlkZW50aWZpY2FyIGNsYXJhbWVudGUgbyBzZXUgbm9tZSAocykgb3UgbyhzKSBub21lKHMpIGRvKHMpIApkZXRlbnRvcihlcykgZG9zIGRpcmVpdG9zIGF1dG9yYWlzIGRhIHRlc2Ugb3UgZGlzc2VydGE/P28sIGUgbj9vIGZhcj8gcXVhbHF1ZXIgYWx0ZXJhPz9vLCBhbD9tIGRhcXVlbGFzIApjb25jZWRpZGFzIHBvciBlc3RhIGxpY2VuP2EuCg== |
dc.title.por.fl_str_mv |
Big Data: diretrizes e t??cnicas para preserva????o da privacidade |
title |
Big Data: diretrizes e t??cnicas para preserva????o da privacidade |
spellingShingle |
Big Data: diretrizes e t??cnicas para preserva????o da privacidade Licks, Rog??rio Augusto de Souza Tecnologia da informa????o Big Data Privacidade Diretrizes T??cnicas Gest??o do Conhecimento CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
title_short |
Big Data: diretrizes e t??cnicas para preserva????o da privacidade |
title_full |
Big Data: diretrizes e t??cnicas para preserva????o da privacidade |
title_fullStr |
Big Data: diretrizes e t??cnicas para preserva????o da privacidade |
title_full_unstemmed |
Big Data: diretrizes e t??cnicas para preserva????o da privacidade |
title_sort |
Big Data: diretrizes e t??cnicas para preserva????o da privacidade |
author |
Licks, Rog??rio Augusto de Souza |
author_facet |
Licks, Rog??rio Augusto de Souza |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Guadagnin, Renato da Veiga |
dc.contributor.author.fl_str_mv |
Licks, Rog??rio Augusto de Souza |
contributor_str_mv |
Guadagnin, Renato da Veiga |
dc.subject.por.fl_str_mv |
Tecnologia da informa????o Big Data Privacidade Diretrizes T??cnicas Gest??o do Conhecimento |
topic |
Tecnologia da informa????o Big Data Privacidade Diretrizes T??cnicas Gest??o do Conhecimento CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
dc.subject.cnpq.fl_str_mv |
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
dc.description.abstract.eng.fl_txt_mv |
Success in business requires understanding and application of innovative strategic and business solutions geared to the customer with the use of competitive and strategic intelligence, based on information and knowledge for adequate and agile decision support. Big Data is a powerful tool to achieve these goals. The value provided by this approach considers the improvement of products and services, operational efficiency, increased production, overcoming the competition, resulting in offering best solutions for customers issues in a satisfactory and differentiated way. This work intends to present guidelines and techniques concerning privacy preserving in the use of Big Data. Business success strongly depends on how organizations deal with policies linked to storing personal data from its customers, and how they keep a balance between getting value and assuring the citizens right to control exposure and availability of their own data. A qualitative and bibliographic approach was used as a research method through literature review of issues Big Data and privacy. The results confirmed the existence of guidelines represented by laws and regulations applied in Europe, USA, Asia, as well as techniques for preserving privacy, such as the anonymisation of data and differential privacy, including application to Big Data. As future study concerning the definition of property rights and privacy, new approaches on business models that involve Internet of Things can be developed. |
dc.description.abstract.por.fl_txt_mv |
O ??xito no universo empresarial passa pela compreens??o e aplica????o de solu????es estrat??gicas e negociais inovadoras voltadas ao cliente, com a utiliza????o das intelig??ncias competitiva e estrat??gica, por meio da produ????o de informa????o e conhecimento para suporte adequado e ??gil ?? decis??o e apoio aos neg??cios. O Big Data tem sido apontado como poderoso instrumento para o alcance desses objetivos. O valor proporcionado por essa abordagem considera o aperfei??oamento de produtos e servi??os, efici??ncia operacional, aumento da produ????o, supera????o da concorr??ncia, redundando na oferta de solu????es mais adequadas aos clientes de maneira satisfat??ria e diferenciada. Este trabalho tem o objetivo de levantar diretrizes e t??cnicas atinentes ?? preserva????o da privacidade no uso do Big Data. O sucesso empresarial depende de como as organiza????es lidam com pol??ticas associadas ?? reserva de informa????es pessoais de seus clientes, na busca do equil??brio entre a obten????o de valor e o respeito do direito dos consumidores quanto ao controle da exposi????o e a disponibilidade de dados acerca de si. Como m??todo de pesquisa foi utilizada abordagem qualitativa e bibliogr??fica, por meio da revis??o da literatura dos temas Big Data e privacidade. Conclui-se pela exist??ncia de diretrizes representadas por leis e regulamentos aplicadas na Europa, Estados Unidos, ??sia, al??m de t??cnicas para a preserva????o da privacidade como a anonimiza????o de dados e privacidade diferencial, inclusive com aplica????o ao Big Data. Como trabalho futuro recomenda-se, no tocante ?? defini????o de direitos de propriedade e privacidade, o aprofundamento de estudos dos modelos de neg??cio que envolvem a Internet das Coisas, dentre outros. |
description |
Success in business requires understanding and application of innovative strategic and business solutions geared to the customer with the use of competitive and strategic intelligence, based on information and knowledge for adequate and agile decision support. Big Data is a powerful tool to achieve these goals. The value provided by this approach considers the improvement of products and services, operational efficiency, increased production, overcoming the competition, resulting in offering best solutions for customers issues in a satisfactory and differentiated way. This work intends to present guidelines and techniques concerning privacy preserving in the use of Big Data. Business success strongly depends on how organizations deal with policies linked to storing personal data from its customers, and how they keep a balance between getting value and assuring the citizens right to control exposure and availability of their own data. A qualitative and bibliographic approach was used as a research method through literature review of issues Big Data and privacy. The results confirmed the existence of guidelines represented by laws and regulations applied in Europe, USA, Asia, as well as techniques for preserving privacy, such as the anonymisation of data and differential privacy, including application to Big Data. As future study concerning the definition of property rights and privacy, new approaches on business models that involve Internet of Things can be developed. |
publishDate |
2016 |
dc.date.accessioned.fl_str_mv |
2016-10-28T18:37:08Z |
dc.date.issued.fl_str_mv |
2016-02-26 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
status_str |
publishedVersion |
format |
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dc.identifier.citation.fl_str_mv |
LICKS, Rog??rio Augusto de Souza. Big Data: Diretrizes e T??cnicas para Preserva????o da Privacidade. 2016. 159 p. Disserta????o Mestrado em Gest??o do Conhecimento e da Tecnologia da Informa????o. Universidade Cat??lica de Bras??lia. Bras??lia DF. 2016. |
dc.identifier.uri.fl_str_mv |
https://bdtd.ucb.br:8443/jspui/handle/tede/1972 |
identifier_str_mv |
LICKS, Rog??rio Augusto de Souza. Big Data: Diretrizes e T??cnicas para Preserva????o da Privacidade. 2016. 159 p. Disserta????o Mestrado em Gest??o do Conhecimento e da Tecnologia da Informa????o. Universidade Cat??lica de Bras??lia. Bras??lia DF. 2016. |
url |
https://bdtd.ucb.br:8443/jspui/handle/tede/1972 |
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por |
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openAccess |
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Universidade Cat??lica de Bras??lia |
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Programa Strictu Sensu em Gest??o do Conhecimento e da Tecnologia da Informa????o |
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Universidade Cat??lica de Bras??lia |
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