Bitcoin network-based anonymity and privacy model for metaverse implementation in Industry 5.0 using linear Diophantine fuzzy sets

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dc.authoridDelen, Dursun/0000-0001-8857-5148
dc.authoridDeveci, Muhammet/0000-0002-3712-976X
dc.authoridA.Alsattar, Hassan/0000-0003-1182-936X
dc.authoridQahtan, Sarah/0000-0002-5636-5901;
dc.authorwosidDelen, Dursun/AGA-9892-2022
dc.authorwosidDeveci, Muhammet/V-8347-2017
dc.authorwosidA.Alsattar, Hassan/S-1079-2017
dc.authorwosidQahtan, Sarah/E-9160-2019
dc.authorwosidShamim, Nida/IXD-8527-2023
dc.contributor.authorMohammed, Z. K.
dc.contributor.authorZaidan, A. A.
dc.contributor.authorAris, H. B.
dc.contributor.authorAlsattar, Hassan A.
dc.contributor.authorQahtan, Sarah
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorDelen, Dursun
dc.date.accessioned2024-05-19T14:45:53Z
dc.date.available2024-05-19T14:45:53Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractMetaverse is a new technology expected to generate economic growth in Industry 5.0. Numerous studies have shown that current bitcoin networks offer remarkable prospects for future developments involving metaverse with anonymity and privacy. Hence, modelling effective Industry 5.0 platforms for the bitcoin network is crucial for the future metaverse environment. This modelling process can be classified as multiple-attribute decision-making given three issues: the existence of multiple anonymity and privacy attributes, the uncertainty related to the relative importance of these attributes and the variability of data. The present study endeavours to combine the fuzzy weighted with zero inconsistency method and Diophantine linear fuzzy sets with multiobjective optimisation based on ratio analysis plus the multiplicative form (MULTIMOORA) to determine the ideal approach for metaverse implementation in Industry 5.0. The decision matrix for the study is built by intersecting 22 bitcoin networks to support Industry 5.0's metaverse environment with 24 anonymity and privacy evaluation attributes. The proposed method is further developed to ascertain the importance level of the anonymity and privacy evaluation attributes. These data are used in MULTIMOORA. A sensitivity analysis, correlation coefficient test and comparative analysis are performed to assess the robustness of the proposed method.en_US
dc.identifier.doi10.1007/s10479-023-05421-3
dc.identifier.issn0254-5330
dc.identifier.issn1572-9338
dc.identifier.scopus2-s2.0-85162036004en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1007/s10479-023-05421-3
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5383
dc.identifier.wosWOS:001010081700003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAnnals of Operations Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectMultiple Attribute Decision-Makingen_US
dc.subjectDiophantine Linear Fuzzy Setsen_US
dc.subjectIndustry 5en_US
dc.subject0en_US
dc.subjectMetaverseen_US
dc.subjectBitcoin Networksen_US
dc.subjectAnonymity Privacyen_US
dc.titleBitcoin network-based anonymity and privacy model for metaverse implementation in Industry 5.0 using linear Diophantine fuzzy setsen_US
dc.typeArticleen_US

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