Publicação
Intrusion detection system in software-defined networks
| Resumo: | Software-Defined Networking technologies represent a recent cutting-edge paradigm in network management, offering unprecedented flexibility and scalability. As the adoption of SDN continues to grow, so does the urgency of studying methods to enhance its security. It is the critical importance of understanding and fortifying SDN security, given its pivotal role in the modern digital ecosystem. With the ever-evolving threat landscape, research into innovative security measures is essential to ensure the integrity, confidentiality, and availability of network resources in this dynamic and transformative technology, ultimately safeguarding the reliability and functionality of our interconnected world. This research presents a novel approach to enhancing security in Software-Defined Networking through the development of an initial Intrusion Detection System. The IDS offers a scalable solution, facilitating the transmission and storage of network traffic with robust support for failure recovery across multiple nodes. Additionally, an innovative analysis module incorporates artificial intelligence (AI) to predict the nature of network traffic, effectively distinguishing between malicious and benign data. The system integrates a diverse range of technologies and tools, enabling the processing and analysis of network traffic data from PCAP files, thus contributing to the reinforcement of SDN security. |
|---|---|
| Autores principais: | Leite, Vinicius Lopes |
| Assunto: | Software defined network IDS Cybersecurity |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867173269435580416 |
|---|---|
| author | Leite, Vinicius Lopes |
| author_facet | Leite, Vinicius Lopes |
| author_role | author |
| contributor_name_str_mv | Pedrosa, Tiago Foronda, Augusto Rodrigues, Nuno G. Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Leite, Vinicius Lopes\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Pedrosa, Tiago Foronda, Augusto Rodrigues, Nuno G. Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Leite, Vinicius Lopes |
| datacite.date.Accepted.fl_str_mv | 2023-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2024-01-04T14:18:36Z |
| datacite.date.embargoed.fl_str_mv | 2024-01-04T14:18:36Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Software defined network IDS Cybersecurity |
| datacite.titles.title.fl_str_mv | Intrusion detection system in software-defined networks |
| dc.contributor.none.fl_str_mv | Pedrosa, Tiago Foronda, Augusto Rodrigues, Nuno G. Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Leite, Vinicius Lopes |
| dc.date.Accepted.fl_str_mv | 2023-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2024-01-04T14:18:36Z |
| dc.date.embargoed.fl_str_mv | 2024-01-04T14:18:36Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/29093 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by-nc/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Software defined network IDS Cybersecurity |
| dc.title.fl_str_mv | Intrusion detection system in software-defined networks |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_bdcc |
| description | Software-Defined Networking technologies represent a recent cutting-edge paradigm in network management, offering unprecedented flexibility and scalability. As the adoption of SDN continues to grow, so does the urgency of studying methods to enhance its security. It is the critical importance of understanding and fortifying SDN security, given its pivotal role in the modern digital ecosystem. With the ever-evolving threat landscape, research into innovative security measures is essential to ensure the integrity, confidentiality, and availability of network resources in this dynamic and transformative technology, ultimately safeguarding the reliability and functionality of our interconnected world. This research presents a novel approach to enhancing security in Software-Defined Networking through the development of an initial Intrusion Detection System. The IDS offers a scalable solution, facilitating the transmission and storage of network traffic with robust support for failure recovery across multiple nodes. Additionally, an innovative analysis module incorporates artificial intelligence (AI) to predict the nature of network traffic, effectively distinguishing between malicious and benign data. The system integrates a diverse range of technologies and tools, enabling the processing and analysis of network traffic data from PCAP files, thus contributing to the reinforcement of SDN security. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/968e8fff-a956-47d5-bbfc-050e4a8286d3/download |
| id | ipb_62aa29b835493a13ec0027f046cdc5fb |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/29093 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
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| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/29093 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Leite, Vinicius Lopes |
| publishDate | 2023 |
| reponame_str | Biblioteca Digital do IPB |
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| spelling | engpt_PTSoftware-Defined Networking technologies represent a recent cutting-edge paradigm in network management, offering unprecedented flexibility and scalability. As the adoption of SDN continues to grow, so does the urgency of studying methods to enhance its security. It is the critical importance of understanding and fortifying SDN security, given its pivotal role in the modern digital ecosystem. With the ever-evolving threat landscape, research into innovative security measures is essential to ensure the integrity, confidentiality, and availability of network resources in this dynamic and transformative technology, ultimately safeguarding the reliability and functionality of our interconnected world. This research presents a novel approach to enhancing security in Software-Defined Networking through the development of an initial Intrusion Detection System. The IDS offers a scalable solution, facilitating the transmission and storage of network traffic with robust support for failure recovery across multiple nodes. Additionally, an innovative analysis module incorporates artificial intelligence (AI) to predict the nature of network traffic, effectively distinguishing between malicious and benign data. The system integrates a diverse range of technologies and tools, enabling the processing and analysis of network traffic data from PCAP files, thus contributing to the reinforcement of SDN security.application/pdfpt_PTIntrusion detection system in software-defined networksLeite, Vinicius LopesPedrosa, TiagoForonda, AugustoRodrigues, Nuno G.HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptURNurn:tid:2034453842024-01-04T14:18:36Z20232023-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/29093http://purl.org/coar/access_right/c_abf2open accessSoftware defined networkIDSCybersecurity4518763 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2023http://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/968e8fff-a956-47d5-bbfc-050e4a8286d3/download |
| spellingShingle | Intrusion detection system in software-defined networks Leite, Vinicius Lopes Software defined network IDS Cybersecurity |
| status | SINGLETON |
| subject.fl_str_mv | Software defined network IDS Cybersecurity |
| title | Intrusion detection system in software-defined networks |
| title_full | Intrusion detection system in software-defined networks |
| title_fullStr | Intrusion detection system in software-defined networks |
| title_full_unstemmed | Intrusion detection system in software-defined networks |
| title_short | Intrusion detection system in software-defined networks |
| title_sort | Intrusion detection system in software-defined networks |
| topic | Software defined network IDS Cybersecurity |
| topic_facet | Software defined network IDS Cybersecurity |
| url | http://hdl.handle.net/10198/29093 |
| visible | 1 |