The Role of a Microservice Architecture on cybersecurity and operational resilience in critical systems
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/24203 |
Resumo: | Critical systems are characterized by their high degree of intolerance to threats, in other words, their high level of resilience, because depending on the context in which the system is inserted, the slightest failure could imply significant damage, whether in economic terms, or loss of reputation, of information, of infrastructure, of the environment, or human life. The security of such systems is traditionally associated with legacy infrastructures and data centers that are monolithic, which translates into increasingly high evolution and protection challenges. In the current context of rapid transformation where the variety of threats to systems has been consistently increasing, this dissertation aims to carry out a compatibility study of the microservice architecture, which is denoted by its characteristics such as resilience, scalability, modifiability and technological heterogeneity, being flexible in structural adaptations, and in rapidly evolving and highly complex settings, making it suited for agile environments. It also explores what response artificial intelligence, more specifically machine learning, can provide in a context of security and monitorability when combined with a simple banking system that adopts the microservice architecture. |
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The Role of a Microservice Architecture on cybersecurity and operational resilience in critical systemsMicroservices architectureCritical systemsCybersecurityOperational resilienceArchitectural evaluationMachine learningDomínio/Área Científica::Engenharia e TecnologiaCritical systems are characterized by their high degree of intolerance to threats, in other words, their high level of resilience, because depending on the context in which the system is inserted, the slightest failure could imply significant damage, whether in economic terms, or loss of reputation, of information, of infrastructure, of the environment, or human life. The security of such systems is traditionally associated with legacy infrastructures and data centers that are monolithic, which translates into increasingly high evolution and protection challenges. In the current context of rapid transformation where the variety of threats to systems has been consistently increasing, this dissertation aims to carry out a compatibility study of the microservice architecture, which is denoted by its characteristics such as resilience, scalability, modifiability and technological heterogeneity, being flexible in structural adaptations, and in rapidly evolving and highly complex settings, making it suited for agile environments. It also explores what response artificial intelligence, more specifically machine learning, can provide in a context of security and monitorability when combined with a simple banking system that adopts the microservice architecture.Os sistemas críticos são caracterizados pelo seu elevado grau de intolerância às ameaças, por outras palavras, o seu alto nível de resiliência, pois dependendo do contexto onde se insere o sistema, a mínima falha poderá implicar danos significativos, seja em termos económicos, de perda de reputação, de informação, de infraestrutura, de ambiente, ou de vida humana. A segurança informática de tais sistemas está tradicionalmente associada a infraestruturas e data centers legacy, ou seja, de natureza monolítica, o que se traduz em desafios de evolução e proteção cada vez mais elevados. No contexto atual de rápida transformação, onde as variedades de ameaças aos sistemas têm vindo consistentemente a aumentar, esta dissertação visa realizar um estudo de compatibilidade da arquitetura de microserviços, que se denota pelas suas caraterísticas tais como a resiliência, escalabilidade, modificabilidade e heterogeneidade tecnológica, sendo flexível em adaptações estruturais, e em cenários de rápida evolução e elevada complexidade, tornando-a adequada a ambientes ágeis. Explora também a resposta que a inteligência artificial, mais concretamente, machine learning, pode dar num contexto de segurança e monitorabilidade quando combinado com um simples sistema bancário que adota uma arquitetura de microserviços.Pereira, Isabel Cecília Correia da Silva Praça GomesRepositório Científico do Instituto Politécnico do PortoSebastião, Francisco Pinto2023-12-14T12:36:01Z2023-11-072023-11-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.22/24203TID:203413580enginfo: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:RCAAP2023-12-20T01:56:48Zoai:recipp.ipp.pt:10400.22/24203Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:55:10.278825Repositório 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 |
The Role of a Microservice Architecture on cybersecurity and operational resilience in critical systems |
title |
The Role of a Microservice Architecture on cybersecurity and operational resilience in critical systems |
spellingShingle |
The Role of a Microservice Architecture on cybersecurity and operational resilience in critical systems Sebastião, Francisco Pinto Microservices architecture Critical systems Cybersecurity Operational resilience Architectural evaluation Machine learning Domínio/Área Científica::Engenharia e Tecnologia |
title_short |
The Role of a Microservice Architecture on cybersecurity and operational resilience in critical systems |
title_full |
The Role of a Microservice Architecture on cybersecurity and operational resilience in critical systems |
title_fullStr |
The Role of a Microservice Architecture on cybersecurity and operational resilience in critical systems |
title_full_unstemmed |
The Role of a Microservice Architecture on cybersecurity and operational resilience in critical systems |
title_sort |
The Role of a Microservice Architecture on cybersecurity and operational resilience in critical systems |
author |
Sebastião, Francisco Pinto |
author_facet |
Sebastião, Francisco Pinto |
author_role |
author |
dc.contributor.none.fl_str_mv |
Pereira, Isabel Cecília Correia da Silva Praça Gomes Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Sebastião, Francisco Pinto |
dc.subject.por.fl_str_mv |
Microservices architecture Critical systems Cybersecurity Operational resilience Architectural evaluation Machine learning Domínio/Área Científica::Engenharia e Tecnologia |
topic |
Microservices architecture Critical systems Cybersecurity Operational resilience Architectural evaluation Machine learning Domínio/Área Científica::Engenharia e Tecnologia |
description |
Critical systems are characterized by their high degree of intolerance to threats, in other words, their high level of resilience, because depending on the context in which the system is inserted, the slightest failure could imply significant damage, whether in economic terms, or loss of reputation, of information, of infrastructure, of the environment, or human life. The security of such systems is traditionally associated with legacy infrastructures and data centers that are monolithic, which translates into increasingly high evolution and protection challenges. In the current context of rapid transformation where the variety of threats to systems has been consistently increasing, this dissertation aims to carry out a compatibility study of the microservice architecture, which is denoted by its characteristics such as resilience, scalability, modifiability and technological heterogeneity, being flexible in structural adaptations, and in rapidly evolving and highly complex settings, making it suited for agile environments. It also explores what response artificial intelligence, more specifically machine learning, can provide in a context of security and monitorability when combined with a simple banking system that adopts the microservice architecture. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-14T12:36:01Z 2023-11-07 2023-11-07T00:00:00Z |
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/10400.22/24203 TID:203413580 |
url |
http://hdl.handle.net/10400.22/24203 |
identifier_str_mv |
TID:203413580 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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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 |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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 |
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1799136438524051456 |