Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/34344
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Campo DCValorIdioma
dc.contributor.authorMurta, J.-
dc.contributor.authorAmaral, V.-
dc.contributor.authorBrito e Abreu, F.-
dc.contributor.editorLongo F., Shen W., Padovano A.-
dc.date.accessioned2025-05-07T09:11:31Z-
dc.date.available2025-05-07T09:11:31Z-
dc.date.issued2024-
dc.identifier.citationMurta, J., Amaral, V., & Brito e Abreu, F. (2024). Trusted evidences on the digital transformation of classic cars restoration. In F. Longo, W. Shen, & A. Padovano (Eds.), Procedia Computer Science (vol.232, pp. 254-263). Elsevier. https://doi.org/10.1016/j.procs.2024.01.025-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/10071/34344-
dc.description.abstractClassic automobiles are a crucial component of the automotive industry, representing specific eras’ historical, and technological accomplishments. However, to be regarded as masterpieces, these must be conserved in mint condition or restored following strict guidelines applied by expert services. Therefore, all data about restoration processes, and other relevant information about these vehicles, must be rigorously documented to guarantee its auditability and immutability. This paper reports on our ongoing research to properly provide such features to the classic car ecosystem. We are developing a blockchain-based solution that facilitates the adequate recording of classic car information, restoration procedures applied, and all associated documentation by ensuring this data is immutable and trustworthy, while also promoting collaboration between interested entities. Our proposed solution aims to be advantageous for all automotive entities involved. Additionally, it will be feasible to assess the impact of our system and its key technology, blockchain, applied to this particular domain.eng
dc.language.isoeng-
dc.publisherElsevier-
dc.relation01/SAICT/2016 nº 022153-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04466%2F2020/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04466%2F2020/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04516%2F2020/PT-
dc.relation.ispartofProcedia Computer Science-
dc.rightsopenAccess-
dc.subjectBlockchaineng
dc.subjectClassic cars restorationeng
dc.subjectDigital transformationeng
dc.subjectSmart contractseng
dc.titleTrusted evidences on the digital transformation of classic cars restorationeng
dc.typeconferenceObject-
dc.event.title5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023-
dc.event.typeConferênciapt
dc.event.locationLisboaeng
dc.event.date2023-
dc.pagination254 - 263-
dc.peerreviewedyes-
dc.volume232-
dc.date.updated2025-05-12T11:34:07Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi1https://doi.org/10.1016/j.procs.2024.01.025-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
iscte.subject.odsTrabalho digno e crescimento económicopor
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.subject.odsParcerias para a implementação dos objetivospor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-105085-
iscte.alternateIdentifiers.wosWOS:WOS:001196800600025-
iscte.alternateIdentifiers.scopus2-s2.0-85189816129-
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