Publicação
Development of security mechanisms for a multi-agent cyber-physical conveyor system using machine learning
| Resumo: | One main foundation of the Industry 4.0 is the connectivity of devices and systems using Internet of Things technologies, where Cyber-physical systems (CPS) act as the backbone infrastructure based on distributed and decentralized structures. CPS requires the use of Artificial Intelligence (AI) techniques, such as Multi-Agent Systems (MAS), allowing the incorporation of intelligence into the CPS through autonomous, proactive and cooperative entities. The adoption of this new generation of systems in the industrial environment opens new doors for various attacks that can cause serious damage to industrial production systems. This work presents the development of security mechanisms for systems based on MAS, where these mechanisms are used in an experimental case study that consists of a multiagent cyber-physical conveyor system. For this purpose, simple security mechanisms were employed in the system, such as user authentication, signature and message encryption, as well as other more complex mechanisms, such as machine learning techniques that allows the agents to be more intelligent in relation to the exchange of messages protecting the system against attacks, through the classification of the messages as reliable or not, and also an intrusion detection system was carried out. Based on the obtained results, the efficient protection of the system was reached, mitigating the main attack vectors present in the system architecture. |
|---|---|
| Autores principais: | Funchal, Gustavo Silva |
| Assunto: | Industry 4.0 Multi-agent systems Cyber-physical systems Cybersecurity Machine learning Intrusion detection systems |
| Ano: | 2020 |
| 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_ | 1867173220277288960 |
|---|---|
| author | Funchal, Gustavo Silva |
| author_facet | Funchal, Gustavo Silva |
| author_role | author |
| contributor_name_str_mv | Leitão, Paulo Barbosa, José Vallim, Marcos Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Funchal, Gustavo Silva\",\"Person.identifier.orcid\":\"0000-0002-9691-9956\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Leitão, Paulo Barbosa, José Vallim, Marcos Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Funchal, Gustavo Silva |
| datacite.date.Accepted.fl_str_mv | 2020-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2020-12-21T10:14:25Z |
| datacite.date.embargoed.fl_str_mv | 2020-12-21T10:14:25Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Industry 4.0 Multi-agent systems Cyber-physical systems Cybersecurity Machine learning Intrusion detection systems |
| datacite.titles.title.fl_str_mv | Development of security mechanisms for a multi-agent cyber-physical conveyor system using machine learning |
| dc.contributor.none.fl_str_mv | Leitão, Paulo Barbosa, José Vallim, Marcos Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Funchal, Gustavo Silva |
| dc.date.Accepted.fl_str_mv | 2020-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2020-12-21T10:14:25Z |
| dc.date.embargoed.fl_str_mv | 2020-12-21T10:14:25Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/22980 |
| 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 | Industry 4.0 Multi-agent systems Cyber-physical systems Cybersecurity Machine learning Intrusion detection systems |
| dc.title.fl_str_mv | Development of security mechanisms for a multi-agent cyber-physical conveyor system using machine learning |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_bdcc |
| description | One main foundation of the Industry 4.0 is the connectivity of devices and systems using Internet of Things technologies, where Cyber-physical systems (CPS) act as the backbone infrastructure based on distributed and decentralized structures. CPS requires the use of Artificial Intelligence (AI) techniques, such as Multi-Agent Systems (MAS), allowing the incorporation of intelligence into the CPS through autonomous, proactive and cooperative entities. The adoption of this new generation of systems in the industrial environment opens new doors for various attacks that can cause serious damage to industrial production systems. This work presents the development of security mechanisms for systems based on MAS, where these mechanisms are used in an experimental case study that consists of a multiagent cyber-physical conveyor system. For this purpose, simple security mechanisms were employed in the system, such as user authentication, signature and message encryption, as well as other more complex mechanisms, such as machine learning techniques that allows the agents to be more intelligent in relation to the exchange of messages protecting the system against attacks, through the classification of the messages as reliable or not, and also an intrusion detection system was carried out. Based on the obtained results, the efficient protection of the system was reached, mitigating the main attack vectors present in the system architecture. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/5c8e6ad1-56c9-4493-8abb-c2f19e39bf41/download |
| id | ipb_29b9d366cf53ec04b5263752e83cf3d1 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/22980 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/22980 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Funchal, Gustavo Silva Funchal, Gustavo Silva https://www.ciencia-id.pt/9416-F3F1-B3EF 9416-F3F1-B3EF http://orcid.org/0000-0002-9691-9956 0000-0002-9691-9956 |
| publishDate | 2020 |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engpt_PTOne main foundation of the Industry 4.0 is the connectivity of devices and systems using Internet of Things technologies, where Cyber-physical systems (CPS) act as the backbone infrastructure based on distributed and decentralized structures. CPS requires the use of Artificial Intelligence (AI) techniques, such as Multi-Agent Systems (MAS), allowing the incorporation of intelligence into the CPS through autonomous, proactive and cooperative entities. The adoption of this new generation of systems in the industrial environment opens new doors for various attacks that can cause serious damage to industrial production systems. This work presents the development of security mechanisms for systems based on MAS, where these mechanisms are used in an experimental case study that consists of a multiagent cyber-physical conveyor system. For this purpose, simple security mechanisms were employed in the system, such as user authentication, signature and message encryption, as well as other more complex mechanisms, such as machine learning techniques that allows the agents to be more intelligent in relation to the exchange of messages protecting the system against attacks, through the classification of the messages as reliable or not, and also an intrusion detection system was carried out. Based on the obtained results, the efficient protection of the system was reached, mitigating the main attack vectors present in the system architecture.application/pdfpt_PTDevelopment of security mechanisms for a multi-agent cyber-physical conveyor system using machine learningPersonalFunchal, Gustavo SilvaDSpacehttp://dspace.org/items/4db24fee-2be5-4feb-966f-acb5a7ff1a5cDSpacehttp://dspace.org/items/4db24fee-2be5-4feb-966f-acb5a7ff1a5cFunchalGustavo SilvaCiência IDhttps://www.ciencia-id.pt9416-F3F1-B3EFORCIDhttp://orcid.org0000-0002-9691-9956Scopus Author IDhttps://www.scopus.com57216637887Leitão, PauloBarbosa, JoséVallim, MarcosHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptURNurn:tid:2025598662020-12-21T10:14:25Z202020192020-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/22980http://purl.org/coar/access_right/c_abf2open accessIndustry 4.0Multi-agent systemsCyber-physical systemsCybersecurityMachine learningIntrusion detection systems3320827 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2020http://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/5c8e6ad1-56c9-4493-8abb-c2f19e39bf41/download |
| spellingShingle | Development of security mechanisms for a multi-agent cyber-physical conveyor system using machine learning Funchal, Gustavo Silva Industry 4.0 Multi-agent systems Cyber-physical systems Cybersecurity Machine learning Intrusion detection systems |
| status | SINGLETON |
| subject.fl_str_mv | Industry 4.0 Multi-agent systems Cyber-physical systems Cybersecurity Machine learning Intrusion detection systems |
| title | Development of security mechanisms for a multi-agent cyber-physical conveyor system using machine learning |
| title_full | Development of security mechanisms for a multi-agent cyber-physical conveyor system using machine learning |
| title_fullStr | Development of security mechanisms for a multi-agent cyber-physical conveyor system using machine learning |
| title_full_unstemmed | Development of security mechanisms for a multi-agent cyber-physical conveyor system using machine learning |
| title_short | Development of security mechanisms for a multi-agent cyber-physical conveyor system using machine learning |
| title_sort | Development of security mechanisms for a multi-agent cyber-physical conveyor system using machine learning |
| topic | Industry 4.0 Multi-agent systems Cyber-physical systems Cybersecurity Machine learning Intrusion detection systems |
| topic_facet | Industry 4.0 Multi-agent systems Cyber-physical systems Cybersecurity Machine learning Intrusion detection systems |
| url | http://hdl.handle.net/10198/22980 |
| visible | 1 |