Recommendation of a security architecture for data loss prevention

Detalhes bibliográficos
Autor(a) principal: Ramos, Luis Manuel Cerqueira Dias Pereira
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/21142
Resumo: Data and people are the most important assets of any organization. The amount of information that is generated increases exponentially due to the number of new devices that create information. On the other hand, more and more organizations are covered by some type of regulation, such as the General Data Protection Regulation. Organizations implement several security controls, however, they do not focus on protecting the information itself and information leakage is a reality and a growing concern. Based on this problem, there is a need to protect confidential information, such as clinical data, personal information, among others. In this regard, data loss prevention solutions (DLP – Data Loss Prevention) that have the ability to identify, monitor and act on data considered confidential, whether at the endpoint, data repositories or in the network, should be part of the information security strategy of organizations in order to mitigate these risks. This dissertation will study the topic of data loss prevention and evaluate several existing solutions in order to identify the key components of this type of solutions. The contribution of this work will be the recommendation of a security architecture that mitigates the risk of information leakage and that can be easily adaptable to any DLP solution to be implemented by organizations. In order to prove the efficiency of the architecture, it was implemented and tested to mitigate the risk of information leakage in specific proposed scenarios.
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spelling Recommendation of a security architecture for data loss preventionInformation securityData loss preventionConfidentialitySensitive dataSegurança informáticaFuga de informaçãoConfidencialidadeDados sensíveisData and people are the most important assets of any organization. The amount of information that is generated increases exponentially due to the number of new devices that create information. On the other hand, more and more organizations are covered by some type of regulation, such as the General Data Protection Regulation. Organizations implement several security controls, however, they do not focus on protecting the information itself and information leakage is a reality and a growing concern. Based on this problem, there is a need to protect confidential information, such as clinical data, personal information, among others. In this regard, data loss prevention solutions (DLP – Data Loss Prevention) that have the ability to identify, monitor and act on data considered confidential, whether at the endpoint, data repositories or in the network, should be part of the information security strategy of organizations in order to mitigate these risks. This dissertation will study the topic of data loss prevention and evaluate several existing solutions in order to identify the key components of this type of solutions. The contribution of this work will be the recommendation of a security architecture that mitigates the risk of information leakage and that can be easily adaptable to any DLP solution to be implemented by organizations. In order to prove the efficiency of the architecture, it was implemented and tested to mitigate the risk of information leakage in specific proposed scenarios.A informação e as pessoas são os ativos mais importantes de qualquer organização. A quantidade de informação que é gerada aumenta exponencialmente devido à quantidade de novos dispositivos que produzem informação. Por outro lado, cada vez mais organizações são abrangidas por algum tipo de regulamento, como o Regulamento Geral de Proteção de Dados. As organizações implementam vários controlos de segurança, no entanto, não se focam na proteção da informação em si e a fuga da informação é uma realidade e uma preocupação crescente. Com base neste problema, existe a necessidade de proteger a informação confidencial, como dados clínicos, informação pessoal, entre outros. Neste sentido, as soluções de prevenção da fuga de informação (DLP – Data Loss Prevention) que têm a capacidade de identificar, monitorizar e atuar em dados considerados confidenciais, seja ao nível do endpoint, repositório de dados ou na rede, devem fazer parte da estratégia da segurança da informação das organizações por forma a mitigar estes riscos. Esta dissertação vai analisar a temática da prevenção da fuga de informação e avaliar várias soluções existentes com o propósito de identificar as componentes chave deste tipo de soluções. A principal contribuição deste trabalho será a recomendação de uma arquitetura de segurança que mitigue o risco da fuga da informação e que poderá ser facilmente adaptável a qualquer solução de DLP a ser implementada pelas organizações. Por forma a comprovar a eficiência da arquitetura, a mesma foi implementada e testada para mitigar o risco de fuga da informação em cenários específicos que foram definidos.2022-11-26T00:00:00Z2020-11-26T00:00:00Z2020-11-262020-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/21142TID:202558380engRamos, Luis Manuel Cerqueira Dias Pereirainfo: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:RCAAP2023-11-09T17:42:47Zoai:repositorio.iscte-iul.pt:10071/21142Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:20:04.330074Repositório 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 Recommendation of a security architecture for data loss prevention
title Recommendation of a security architecture for data loss prevention
spellingShingle Recommendation of a security architecture for data loss prevention
Ramos, Luis Manuel Cerqueira Dias Pereira
Information security
Data loss prevention
Confidentiality
Sensitive data
Segurança informática
Fuga de informação
Confidencialidade
Dados sensíveis
title_short Recommendation of a security architecture for data loss prevention
title_full Recommendation of a security architecture for data loss prevention
title_fullStr Recommendation of a security architecture for data loss prevention
title_full_unstemmed Recommendation of a security architecture for data loss prevention
title_sort Recommendation of a security architecture for data loss prevention
author Ramos, Luis Manuel Cerqueira Dias Pereira
author_facet Ramos, Luis Manuel Cerqueira Dias Pereira
author_role author
dc.contributor.author.fl_str_mv Ramos, Luis Manuel Cerqueira Dias Pereira
dc.subject.por.fl_str_mv Information security
Data loss prevention
Confidentiality
Sensitive data
Segurança informática
Fuga de informação
Confidencialidade
Dados sensíveis
topic Information security
Data loss prevention
Confidentiality
Sensitive data
Segurança informática
Fuga de informação
Confidencialidade
Dados sensíveis
description Data and people are the most important assets of any organization. The amount of information that is generated increases exponentially due to the number of new devices that create information. On the other hand, more and more organizations are covered by some type of regulation, such as the General Data Protection Regulation. Organizations implement several security controls, however, they do not focus on protecting the information itself and information leakage is a reality and a growing concern. Based on this problem, there is a need to protect confidential information, such as clinical data, personal information, among others. In this regard, data loss prevention solutions (DLP – Data Loss Prevention) that have the ability to identify, monitor and act on data considered confidential, whether at the endpoint, data repositories or in the network, should be part of the information security strategy of organizations in order to mitigate these risks. This dissertation will study the topic of data loss prevention and evaluate several existing solutions in order to identify the key components of this type of solutions. The contribution of this work will be the recommendation of a security architecture that mitigates the risk of information leakage and that can be easily adaptable to any DLP solution to be implemented by organizations. In order to prove the efficiency of the architecture, it was implemented and tested to mitigate the risk of information leakage in specific proposed scenarios.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-26T00:00:00Z
2020-11-26
2020-10
2022-11-26T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/21142
TID:202558380
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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
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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