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A Framework Based on the DAO and NFT in Blockchain for Electronic Document Sharing.
- Source :
- CMES-Computer Modeling in Engineering & Sciences; 2024, Vol. 140 Issue 3, p2373-2395, 23p
- Publication Year :
- 2024
-
Abstract
- In the information age, electronic documents (e-documents) have become a popular alternative to paper documents due to their lower costs, higher dissemination rates, and ease of knowledge sharing. However, digital copyright infringements occur frequently due to the ease of copying, which not only infringes on the rights of creators but also weakens their creative enthusiasm. Therefore, it is crucial to establish an e-document sharing system that enforces copyright protection. However, the existing centralized system has outstanding vulnerabilities, and the plagiarism detection algorithm used cannot fully detect the context, semantics, style, and other factors of the text. Digital watermark technology is only used as a means of infringement tracing. This paper proposes a decentralized framework for e-document sharing based on decentralized autonomous organization (DAO) and non-fungible token (NFT) in blockchain. The use of blockchain as a distributed credit base resolves the vulnerabilities inherent in traditional centralized systems. The e-document evaluation and plagiarism detection mechanisms based on the DAO model effectively address challenges in comprehensive text information checks, thereby promoting the enhancement of e-document quality. The mechanism for protecting and circulating e-document copyrights using NFT technology ensures effective safeguarding of users' e-document copyrights and facilitates e-document sharing. Moreover, recognizing the security issues within the DAO governance mechanism, we introduce an innovative optimization solution. Through experimentation, we validate the enhanced security of the optimized governance mechanism, reducing manipulation risks by up to 51%. Additionally, by utilizing evolutionary game analysis to deduce the equilibrium strategies of the framework, we discovered that adjusting the reward and penalty parameters of the incentive mechanism motivates creators to generate superior quality and unique e-documents, while evaluators are more likely to engage in assessments. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15261492
- Volume :
- 140
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- CMES-Computer Modeling in Engineering & Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 178677047
- Full Text :
- https://doi.org/10.32604/cmes.2024.049996