DC Field | Value | Language |
---|---|---|
dc.contributor.author | Aleksandra Labus | en_US |
dc.contributor.author | Marijana Despotović-Zrakić | en_US |
dc.contributor.author | Zorica Bogdanović | en_US |
dc.contributor.author | Mihaljević, Miodrag J. | en_US |
dc.contributor.author | Marko Suvajdžić | en_US |
dc.contributor.author | Božidar Radenković | en_US |
dc.date.accessioned | 2025-02-13T21:26:06Z | - |
dc.date.available | 2025-02-13T21:26:06Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | 0353-3670 | - |
dc.identifier.uri | http://researchrepository.mi.sanu.ac.rs/handle/123456789/5445 | - |
dc.description.abstract | The development of digital technologies is changing the way of exchanging information among people. In modern e-business ecosystems data and information are traded intensively. Problems related to safety, security and privacy in the management of business transactions are emerging. In response to these challenges, blockchain emerges as a transformative solution, offering a decentralized, immutable, transparent, and secure ledger that impeccably records all monetary transactions. Rooted in a distributed database of encrypted data, blockchain ensures integrity and resilience against tampering or replication. The key attributes of blockchain technology encompass decentralization, anonymity, auditability, security, increased capacity, transparency, reliability, and immutability. Special issue Facta Universitatis, Series Electronics and Energetics "Blockchain Technologies and Applications" focuses on the profound impact of blockchain technologies on diverse domains such as E-business, Industry 4.0, Metaverse, Software engineering, Digital banking, Fintech, Risk management, Healthcare, Sport, Ecology. This special issue dedicated to blockchain presents innovative e-business models and ecosystems based on blockchain technologies [1][2], development of blockchain infrastructure [3][4], and its seamless integration with complementary technologies like Cloud Computing, Big Data [5], NFT [6], Artificial Intelligence [7][8], Machine Learning [9]. Findings and discussion of the special issue should improve the research and development potential in the academic, industry, and business environments. | en_US |
dc.publisher | University of Niš | en_US |
dc.relation.ispartof | FACTA UNIVERSITATIS Series: Electronics and Energetics | en_US |
dc.rights | Attribution-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Guest Editorial of Thematic Issue on Blockchain Technologies and Applications | en_US |
dc.type | Other | en_US |
dc.identifier.url | https://casopisi.junis.ni.ac.rs/index.php/FUElectEnerg/article/view/12562/5261 | - |
dc.contributor.affiliation | Computer Science | en_US |
dc.contributor.affiliation | Mathematical Institute of the Serbian Academy of Sciences and Arts | en_US |
dc.relation.firstpage | i | - |
dc.relation.lastpage | iv | - |
dc.relation.issue | 1 | - |
dc.relation.volume | 37 | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairetype | Other | - |
crisitem.author.orcid | 0000-0003-3047-3020 | - |
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MMihaljevic.pdf | 219.39 kB | Adobe PDF | View/Open |
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