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Secure data exchange in Industrial Internet of Things

2022Journal article Open access
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dc.contributor.authorSukiasyan, Anna
dc.contributor.authorBadikyan, Hasmik
dc.contributor.authorPedrosa, Tiago
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2022-03-31T13:57:03Z
dc.date.available2022-03-31T13:57:03Z
dc.date.issued2022
dc.description.abstractThe 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.pt_PT
dc.description.sponsorshipThis work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSukiasyan, Anna; Badikyan, Hasmik; Pedrosa, Tiago; Leitão, Paulo (2022). Secure data exchange in industrial internet of things. Neurocomputing. ISSN 0925-2312. 484, p.183-195pt_PT
dc.identifier.doi10.1016/j.neucom.2021.07.101pt_PT
dc.identifier.issn0925-2312
dc.identifier.urihttp://hdl.handle.net/10198/25309
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBlockchainpt_PT
dc.subjectCybersecuritypt_PT
dc.subjectIndustrial IoTpt_PT
dc.subjectIoTpt_PT
dc.subjectIOTApt_PT
dc.subjectThreat modellingpt_PT
dc.titleSecure data exchange in Industrial Internet of Thingspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.endPage195pt_PT
oaire.citation.startPage183pt_PT
oaire.citation.titleNeurocomputingpt_PT
oaire.citation.volume484pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNamePedrosa
person.familyNameLeitão
person.givenNameTiago
person.givenNamePaulo
person.identifierA-8390-2011
person.identifier.ciencia-idB81E-0583-AEDF
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0003-4873-2705
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridG-2249-2011
person.identifier.scopus-author-id35318153700
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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