Cybersecurity in supply chain systems: the Farm-to-Fork use case
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/89558 |
Resumo: | Modern supply chains comprise an increasing number of actors which deploy different information technology systems that capture information of a diverse nature and diverse sources (from sensors to order information). While the benefits of the automatic exchange of information between these systems have been recognized and have led to their interconnection, protecting the whole supply chain from potential attacks is a challenging issue given the attack proliferation reported in the literature. In this paper, we present the FISHY platform, which anticipates protecting the whole supply chain from potential attacks by (a) adopting novel technologies and approaches including machine learning-based tools to detect security threats and recommend mitigation policies and (b) employing blockchain-based tools to provide evidence of the captured events and suggested policies. This platform is also easily expandable to protect against additional attacks in the future. We experiment with this platform in the farm-to-fork supply chain to prove its operation and capabilities. The results show that the FISHY platform can effectively be used to protect the supply chain and offers high flexibility to its users. |
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Cybersecurity in supply chain systems: the Farm-to-Fork use caseattack mitigationblockchaincybersecuritysecurity monitoringsupply chain systemsvalidationCiências Naturais::Ciências da Computação e da InformaçãoEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaModern supply chains comprise an increasing number of actors which deploy different information technology systems that capture information of a diverse nature and diverse sources (from sensors to order information). While the benefits of the automatic exchange of information between these systems have been recognized and have led to their interconnection, protecting the whole supply chain from potential attacks is a challenging issue given the attack proliferation reported in the literature. In this paper, we present the FISHY platform, which anticipates protecting the whole supply chain from potential attacks by (a) adopting novel technologies and approaches including machine learning-based tools to detect security threats and recommend mitigation policies and (b) employing blockchain-based tools to provide evidence of the captured events and suggested policies. This platform is also easily expandable to protect against additional attacks in the future. We experiment with this platform in the farm-to-fork supply chain to prove its operation and capabilities. The results show that the FISHY platform can effectively be used to protect the supply chain and offers high flexibility to its users.This article has partially been supported by the EU funded H2020 FISHY Project (Grant agreement ID: 952644).MDPIUniversidade do MinhoLeligou, Helen C.Lakka, AlexandraKarkazis, Panagiotis A.Costa, Joao PitaTordera, Eva MarinSantos, HenriqueRomero, Antonio Alvarez20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/89558engLeligou, H.C.; Lakka, A.; Karkazis, P.A.; Costa, J.P.; Tordera, E.M.; Santos, H.M.D.; Romero, A.A. Cybersecurity in Supply Chain Systems: The Farm-to-Fork Use Case. Electronics 2024, 13, 215. https://doi.org/10.3390/electronics130102152079-929210.3390/electronics13010215https://www.mdpi.com/2079-9292/13/1/215info: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:RCAAP2024-03-16T01:22:21Zoai:repositorium.sdum.uminho.pt:1822/89558Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:01:13.120460Repositório 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 |
Cybersecurity in supply chain systems: the Farm-to-Fork use case |
title |
Cybersecurity in supply chain systems: the Farm-to-Fork use case |
spellingShingle |
Cybersecurity in supply chain systems: the Farm-to-Fork use case Leligou, Helen C. attack mitigation blockchain cybersecurity security monitoring supply chain systems validation Ciências Naturais::Ciências da Computação e da Informação Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
title_short |
Cybersecurity in supply chain systems: the Farm-to-Fork use case |
title_full |
Cybersecurity in supply chain systems: the Farm-to-Fork use case |
title_fullStr |
Cybersecurity in supply chain systems: the Farm-to-Fork use case |
title_full_unstemmed |
Cybersecurity in supply chain systems: the Farm-to-Fork use case |
title_sort |
Cybersecurity in supply chain systems: the Farm-to-Fork use case |
author |
Leligou, Helen C. |
author_facet |
Leligou, Helen C. Lakka, Alexandra Karkazis, Panagiotis A. Costa, Joao Pita Tordera, Eva Marin Santos, Henrique Romero, Antonio Alvarez |
author_role |
author |
author2 |
Lakka, Alexandra Karkazis, Panagiotis A. Costa, Joao Pita Tordera, Eva Marin Santos, Henrique Romero, Antonio Alvarez |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Leligou, Helen C. Lakka, Alexandra Karkazis, Panagiotis A. Costa, Joao Pita Tordera, Eva Marin Santos, Henrique Romero, Antonio Alvarez |
dc.subject.por.fl_str_mv |
attack mitigation blockchain cybersecurity security monitoring supply chain systems validation Ciências Naturais::Ciências da Computação e da Informação Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
topic |
attack mitigation blockchain cybersecurity security monitoring supply chain systems validation Ciências Naturais::Ciências da Computação e da Informação Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
description |
Modern supply chains comprise an increasing number of actors which deploy different information technology systems that capture information of a diverse nature and diverse sources (from sensors to order information). While the benefits of the automatic exchange of information between these systems have been recognized and have led to their interconnection, protecting the whole supply chain from potential attacks is a challenging issue given the attack proliferation reported in the literature. In this paper, we present the FISHY platform, which anticipates protecting the whole supply chain from potential attacks by (a) adopting novel technologies and approaches including machine learning-based tools to detect security threats and recommend mitigation policies and (b) employing blockchain-based tools to provide evidence of the captured events and suggested policies. This platform is also easily expandable to protect against additional attacks in the future. We experiment with this platform in the farm-to-fork supply chain to prove its operation and capabilities. The results show that the FISHY platform can effectively be used to protect the supply chain and offers high flexibility to its users. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024 2024-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/89558 |
url |
https://hdl.handle.net/1822/89558 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Leligou, H.C.; Lakka, A.; Karkazis, P.A.; Costa, J.P.; Tordera, E.M.; Santos, H.M.D.; Romero, A.A. Cybersecurity in Supply Chain Systems: The Farm-to-Fork Use Case. Electronics 2024, 13, 215. https://doi.org/10.3390/electronics13010215 2079-9292 10.3390/electronics13010215 https://www.mdpi.com/2079-9292/13/1/215 |
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.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
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 |
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RCAAP |
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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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1799138186649141248 |