Modelling Bitcoin networks in terms of anonymity and privacy in the metaverse application within Industry 5.0: Comprehensive taxonomy, unsolved issues and suggested solution
The metaverse, a virtual multiuser environment, has garnered global attention for its potential to offer deeply immersive and participatory experiences. As this technology matures, it is evolving in tandem with emerging innovations such as Web 3.0, Blockchain, nonfungible tokens, and cryptocurrencie...
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Walter de Gruyter GmbH
2025
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| _version_ | 1833351127255482368 |
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| author | Mohammad Z.K. Yousif S.B. Yousif Y.B. |
| author2 | 59455596500 |
| author_facet | 59455596500 Mohammad Z.K. Yousif S.B. Yousif Y.B. |
| author_sort | Mohammad Z.K. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The metaverse, a virtual multiuser environment, has garnered global attention for its potential to offer deeply immersive and participatory experiences. As this technology matures, it is evolving in tandem with emerging innovations such as Web 3.0, Blockchain, nonfungible tokens, and cryptocurrencies like Bitcoin, which play pivotal roles in the metaverse economy. Robust Bitcoin networks must be modelled for the metaverse environment in Industry 5.0 platforms to ensure the metaverse?s sustained growth and relevance. Industry 5.0 is poised to experience significant economic expansion, driven in large part by the transformative influence of metaverse technology. Researchers have actively explored diverse strategies and approaches to address the unique challenges and opportunities presented by current Bitcoin networks, highlighting the limitless potential for enhancing anonymity and privacy while navigating this exciting digital frontier. By addressing the diverse anonymity and privacy evaluation attributes, the lack of clarity regarding the prioritisation of these attributes and the variability in data, this modelling approach can be categorised as a form of multiple attribute decision-making (MADM). This review seeks to achieve three main objectives: firstly, to identify research gaps, obstacles, and problems within scholarly literature, which is crucial for assessing and modelling Bitcoin networks to succour the metaverse environment of Industry 5.0; secondly, to pinpoint theoretical gaps, proposed solutions, and benchmarking of Bitcoin networks; and thirdly, to offer an overview of the existing validation and evaluation methods employed in the literature. This review introduced a unique taxonomy by intersecting ?Bitcoin networks based on blockchain aspects? with ?anonymity and privacy development attributes aspect.? It emphasised the study?s significance and innovation. The results illustrate that employing MADM techniques is highly suitable for modelling Bitcoin networks to support the metaverse within the context of Industry 5.0. This thorough review is an invaluable resource for academics and decision-makers, offering perspectives regarding the improvements, applications, and potential directions for evaluating Bitcoin networks to bolster the metaverse environment of Industry 5.0. ? 2024 the author(s), published by De Gruyter. |
| format | Review |
| id | my.uniten.dspace-37098 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Walter de Gruyter GmbH |
| record_format | dspace |
| spelling | my.uniten.dspace-370982025-03-03T15:47:28Z Modelling Bitcoin networks in terms of anonymity and privacy in the metaverse application within Industry 5.0: Comprehensive taxonomy, unsolved issues and suggested solution Mohammad Z.K. Yousif S.B. Yousif Y.B. 59455596500 58985321400 57190977401 Benchmarking Bitcoin Taxonomies Anonymity and privacy Anonymity and privacy attribute Bitcoin network Decisions makings FWZIC Industry 5.0 LDFS Metaverses MULTIMOORA Multiple attribute decision making Decision making The metaverse, a virtual multiuser environment, has garnered global attention for its potential to offer deeply immersive and participatory experiences. As this technology matures, it is evolving in tandem with emerging innovations such as Web 3.0, Blockchain, nonfungible tokens, and cryptocurrencies like Bitcoin, which play pivotal roles in the metaverse economy. Robust Bitcoin networks must be modelled for the metaverse environment in Industry 5.0 platforms to ensure the metaverse?s sustained growth and relevance. Industry 5.0 is poised to experience significant economic expansion, driven in large part by the transformative influence of metaverse technology. Researchers have actively explored diverse strategies and approaches to address the unique challenges and opportunities presented by current Bitcoin networks, highlighting the limitless potential for enhancing anonymity and privacy while navigating this exciting digital frontier. By addressing the diverse anonymity and privacy evaluation attributes, the lack of clarity regarding the prioritisation of these attributes and the variability in data, this modelling approach can be categorised as a form of multiple attribute decision-making (MADM). This review seeks to achieve three main objectives: firstly, to identify research gaps, obstacles, and problems within scholarly literature, which is crucial for assessing and modelling Bitcoin networks to succour the metaverse environment of Industry 5.0; secondly, to pinpoint theoretical gaps, proposed solutions, and benchmarking of Bitcoin networks; and thirdly, to offer an overview of the existing validation and evaluation methods employed in the literature. This review introduced a unique taxonomy by intersecting ?Bitcoin networks based on blockchain aspects? with ?anonymity and privacy development attributes aspect.? It emphasised the study?s significance and innovation. The results illustrate that employing MADM techniques is highly suitable for modelling Bitcoin networks to support the metaverse within the context of Industry 5.0. This thorough review is an invaluable resource for academics and decision-makers, offering perspectives regarding the improvements, applications, and potential directions for evaluating Bitcoin networks to bolster the metaverse environment of Industry 5.0. ? 2024 the author(s), published by De Gruyter. Final 2025-03-03T07:47:28Z 2025-03-03T07:47:28Z 2024 Review 10.1515/jisys-2023-0117 2-s2.0-85190354802 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190354802&doi=10.1515%2fjisys-2023-0117&partnerID=40&md5=9f392c9d478441211fafae38eb337367 https://irepository.uniten.edu.my/handle/123456789/37098 33 1 20230117 All Open Access; Gold Open Access Walter de Gruyter GmbH Scopus |
| spellingShingle | Benchmarking Bitcoin Taxonomies Anonymity and privacy Anonymity and privacy attribute Bitcoin network Decisions makings FWZIC Industry 5.0 LDFS Metaverses MULTIMOORA Multiple attribute decision making Decision making Mohammad Z.K. Yousif S.B. Yousif Y.B. Modelling Bitcoin networks in terms of anonymity and privacy in the metaverse application within Industry 5.0: Comprehensive taxonomy, unsolved issues and suggested solution |
| title | Modelling Bitcoin networks in terms of anonymity and privacy in the metaverse application within Industry 5.0: Comprehensive taxonomy, unsolved issues and suggested solution |
| title_full | Modelling Bitcoin networks in terms of anonymity and privacy in the metaverse application within Industry 5.0: Comprehensive taxonomy, unsolved issues and suggested solution |
| title_fullStr | Modelling Bitcoin networks in terms of anonymity and privacy in the metaverse application within Industry 5.0: Comprehensive taxonomy, unsolved issues and suggested solution |
| title_full_unstemmed | Modelling Bitcoin networks in terms of anonymity and privacy in the metaverse application within Industry 5.0: Comprehensive taxonomy, unsolved issues and suggested solution |
| title_short | Modelling Bitcoin networks in terms of anonymity and privacy in the metaverse application within Industry 5.0: Comprehensive taxonomy, unsolved issues and suggested solution |
| title_sort | modelling bitcoin networks in terms of anonymity and privacy in the metaverse application within industry 5.0: comprehensive taxonomy, unsolved issues and suggested solution |
| topic | Benchmarking Bitcoin Taxonomies Anonymity and privacy Anonymity and privacy attribute Bitcoin network Decisions makings FWZIC Industry 5.0 LDFS Metaverses MULTIMOORA Multiple attribute decision making Decision making |
| url_provider | http://dspace.uniten.edu.my/ |