Secure data exchange in Industrial Internet of Things

Detalhes bibliográficos
Autor(a) principal: Sukiasyan, Anna
Data de Publicação: 2022
Outros Autores: Badikyan, Hasmik, Pedrosa, Tiago, Leitão, Paulo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/25309
Resumo: The use of the Industrial Internet of Things (IoT) is widespread, working as an enabler to implement large, scalable, reliable, and secure industrial environments. Although existing deployments do not meet security standards and have limited resources for each component which leads to several security breaches, such as trust between components, partner factories, or remote-control. These security failures can lead to critical outcomes, from theft of production information to forced production stoppages, accidents, including physical and others. The combination of blockchain-based solutions with IIoT environments is gaining momentum due to their resilience and security properties. However, chain-structured classic blockchain solutions are very resource-intensive and are not suitable for power-constrained IoT devices. To mitigate the mentioned security concerns, a secure architecture is proposed using a structured asynchronous blockchain DAG (Directed Acyclic Graph) that simultaneously provides security and transaction efficiency for the solution. The solution was modelled with special details in the use cases and sequence diagrams. Security concerns were integrated from the start, and a threat model was created using the STRIDE approach to test the security of the proposed solution. As a result, a flexible solution was been developed that significantly reduces the attack vectors in IIoT environments. The proposed architecture is versatile and flexible, is supported by an extensive security assessment, which allows it to be deployed in a variety of customizable industrial environments and scenarios, as well as to include future hardware and software extensions.
id RCAP_9b8e418853164e9ed1709ef595dabd0a
oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/25309
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Secure data exchange in Industrial Internet of ThingsBlockchainCybersecurityIndustrial IoTIoTIOTAThreat modellingThe use of the Industrial Internet of Things (IoT) is widespread, working as an enabler to implement large, scalable, reliable, and secure industrial environments. Although existing deployments do not meet security standards and have limited resources for each component which leads to several security breaches, such as trust between components, partner factories, or remote-control. These security failures can lead to critical outcomes, from theft of production information to forced production stoppages, accidents, including physical and others. The combination of blockchain-based solutions with IIoT environments is gaining momentum due to their resilience and security properties. However, chain-structured classic blockchain solutions are very resource-intensive and are not suitable for power-constrained IoT devices. To mitigate the mentioned security concerns, a secure architecture is proposed using a structured asynchronous blockchain DAG (Directed Acyclic Graph) that simultaneously provides security and transaction efficiency for the solution. The solution was modelled with special details in the use cases and sequence diagrams. Security concerns were integrated from the start, and a threat model was created using the STRIDE approach to test the security of the proposed solution. As a result, a flexible solution was been developed that significantly reduces the attack vectors in IIoT environments. The proposed architecture is versatile and flexible, is supported by an extensive security assessment, which allows it to be deployed in a variety of customizable industrial environments and scenarios, as well as to include future hardware and software extensions.This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020.Biblioteca Digital do IPBSukiasyan, AnnaBadikyan, HasmikPedrosa, TiagoLeitão, Paulo2022-03-31T13:57:03Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/25309engSukiasyan, Anna; Badikyan, Hasmik; Pedrosa, Tiago; Leitão, Paulo (2022). Secure data exchange in industrial internet of things. Neurocomputing. ISSN 0925-2312. 484, p.183-1950925-231210.1016/j.neucom.2021.07.101info: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:RCAAP2023-11-21T10:56:40Zoai:bibliotecadigital.ipb.pt:10198/25309Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:15:59.185571Repositório 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 Secure data exchange in Industrial Internet of Things
title Secure data exchange in Industrial Internet of Things
spellingShingle Secure data exchange in Industrial Internet of Things
Sukiasyan, Anna
Blockchain
Cybersecurity
Industrial IoT
IoT
IOTA
Threat modelling
title_short Secure data exchange in Industrial Internet of Things
title_full Secure data exchange in Industrial Internet of Things
title_fullStr Secure data exchange in Industrial Internet of Things
title_full_unstemmed Secure data exchange in Industrial Internet of Things
title_sort Secure data exchange in Industrial Internet of Things
author Sukiasyan, Anna
author_facet Sukiasyan, Anna
Badikyan, Hasmik
Pedrosa, Tiago
Leitão, Paulo
author_role author
author2 Badikyan, Hasmik
Pedrosa, Tiago
Leitão, Paulo
author2_role author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Sukiasyan, Anna
Badikyan, Hasmik
Pedrosa, Tiago
Leitão, Paulo
dc.subject.por.fl_str_mv Blockchain
Cybersecurity
Industrial IoT
IoT
IOTA
Threat modelling
topic Blockchain
Cybersecurity
Industrial IoT
IoT
IOTA
Threat modelling
description The use of the Industrial Internet of Things (IoT) is widespread, working as an enabler to implement large, scalable, reliable, and secure industrial environments. Although existing deployments do not meet security standards and have limited resources for each component which leads to several security breaches, such as trust between components, partner factories, or remote-control. These security failures can lead to critical outcomes, from theft of production information to forced production stoppages, accidents, including physical and others. The combination of blockchain-based solutions with IIoT environments is gaining momentum due to their resilience and security properties. However, chain-structured classic blockchain solutions are very resource-intensive and are not suitable for power-constrained IoT devices. To mitigate the mentioned security concerns, a secure architecture is proposed using a structured asynchronous blockchain DAG (Directed Acyclic Graph) that simultaneously provides security and transaction efficiency for the solution. The solution was modelled with special details in the use cases and sequence diagrams. Security concerns were integrated from the start, and a threat model was created using the STRIDE approach to test the security of the proposed solution. As a result, a flexible solution was been developed that significantly reduces the attack vectors in IIoT environments. The proposed architecture is versatile and flexible, is supported by an extensive security assessment, which allows it to be deployed in a variety of customizable industrial environments and scenarios, as well as to include future hardware and software extensions.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-31T13:57:03Z
2022
2022-01-01T00:00:00Z
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 http://hdl.handle.net/10198/25309
url http://hdl.handle.net/10198/25309
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sukiasyan, Anna; Badikyan, Hasmik; Pedrosa, Tiago; Leitão, Paulo (2022). Secure data exchange in industrial internet of things. Neurocomputing. ISSN 0925-2312. 484, p.183-195
0925-2312
10.1016/j.neucom.2021.07.101
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
_version_ 1799135443908820992