Intelligent Systems for Cyber Defence - An Architecture Framework for Cyber Defence using Artificial Intelligence
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/142624 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management |
id |
RCAP_a929d576e76bc358e0503f7338954309 |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/142624 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Intelligent Systems for Cyber Defence - An Architecture Framework for Cyber Defence using Artificial IntelligenceCybersecurityCyberattacksMalwareInformation SecurityArtificial IntelligenceMachine Learning Deep LearningDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementOne of the biggest concerns with the internet activity nowadays has to do with the increase of cybercrime. Cybercrime is one of the biggest threats for every organization in the world and its importance for society is reflected in numbers that show the impact it has in the world economy. Cybersecurity ventures predicted that by 2021 cybercrime will cost the world $6 trillion annually. This represents the greatest transfer of economic wealth in history, and it will become more profitable than the global trade of all major illegal drugs combined. The cyberattacks are getting more evolved every day and they leverage newer technologies, like artificial Intelligence (AI), to remain ahead of the curve and defeat the security measures that organizations put in place. To remain secure, organizations need to evolve faster and develop also defensive measures based on AI, otherwise they cannot remain effective, and ensure they are compliant with the security controls defined in the existing security frameworks. Studies demonstrate that there are some gaps in the existing security architectures that use artificial intelligence, and with this work one has developed a study in this area and built a security model, using the design science research methodology, leveraging AI technologies, to fill some of the identified gaps. This study aims to contribute to the industry, academia and to professionals working in the cybersecurity area, by providing a reference model that can be used to help choosing a defense strategy using AI techniques. The framework that was built in this work has been evaluated by cybersecurity experts which validated its utility, technical correctness and recognized that it brings a positive contribution in this space.Santos, Vítor Manuel Pereira Duarte dosRUNTrilho, Paulo César Prata Oliveira2022-07-29T09:20:19Z2022-07-222022-07-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/142624TID:203044843enginfo: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:RCAAP2024-05-22T18:04:05Zoai:run.unl.pt:10362/142624Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T18:04:05Repositório 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 |
Intelligent Systems for Cyber Defence - An Architecture Framework for Cyber Defence using Artificial Intelligence |
title |
Intelligent Systems for Cyber Defence - An Architecture Framework for Cyber Defence using Artificial Intelligence |
spellingShingle |
Intelligent Systems for Cyber Defence - An Architecture Framework for Cyber Defence using Artificial Intelligence Trilho, Paulo César Prata Oliveira Cybersecurity Cyberattacks Malware Information Security Artificial Intelligence Machine Learning Deep Learning |
title_short |
Intelligent Systems for Cyber Defence - An Architecture Framework for Cyber Defence using Artificial Intelligence |
title_full |
Intelligent Systems for Cyber Defence - An Architecture Framework for Cyber Defence using Artificial Intelligence |
title_fullStr |
Intelligent Systems for Cyber Defence - An Architecture Framework for Cyber Defence using Artificial Intelligence |
title_full_unstemmed |
Intelligent Systems for Cyber Defence - An Architecture Framework for Cyber Defence using Artificial Intelligence |
title_sort |
Intelligent Systems for Cyber Defence - An Architecture Framework for Cyber Defence using Artificial Intelligence |
author |
Trilho, Paulo César Prata Oliveira |
author_facet |
Trilho, Paulo César Prata Oliveira |
author_role |
author |
dc.contributor.none.fl_str_mv |
Santos, Vítor Manuel Pereira Duarte dos RUN |
dc.contributor.author.fl_str_mv |
Trilho, Paulo César Prata Oliveira |
dc.subject.por.fl_str_mv |
Cybersecurity Cyberattacks Malware Information Security Artificial Intelligence Machine Learning Deep Learning |
topic |
Cybersecurity Cyberattacks Malware Information Security Artificial Intelligence Machine Learning Deep Learning |
description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-29T09:20:19Z 2022-07-22 2022-07-22T00:00:00Z |
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/10362/142624 TID:203044843 |
url |
http://hdl.handle.net/10362/142624 |
identifier_str_mv |
TID:203044843 |
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.format.none.fl_str_mv |
application/pdf |
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 |
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 |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
_version_ |
1817545879470473216 |