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Network Blockchain Security Sharing Model Based on Fuzzy Logic

In light of the continuous development of Internet technology, many problems involving network security based on the blockchain have also been observed gradually. In this paper, the existence forms of network security hazards based on the blockchain are explored to establish a network blockchain sec...

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Detalles Bibliográficos
Autores principales: Li, Ming, Xiao, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9078782/
https://www.ncbi.nlm.nih.gov/pubmed/35535188
http://dx.doi.org/10.1155/2022/1509000
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author Li, Ming
Xiao, Peng
author_facet Li, Ming
Xiao, Peng
author_sort Li, Ming
collection PubMed
description In light of the continuous development of Internet technology, many problems involving network security based on the blockchain have also been observed gradually. In this paper, the existence forms of network security hazards based on the blockchain are explored to establish a network blockchain security sharing model based on fuzzy logic. In security sharing, network blockchains are often maintained by many parties. This poses new potential threats and challenges to privacy protection in these multiparty network blockchains. This paper proposes a research scheme for a network blockchain security sharing model based on fuzzy logic. The tampering of the protected network blockchain is prevented by blockchain, and the fuzzy logic algorithm is used to ensure its confidentiality. This solution allows the exchange in the protected network blockchain and the security of transaction information based on the fuzzy logic algorithm. According to the results of the experiments, this method can ensure security sharing of the network blockchain with high practicality and achieve the expected design effect.
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spelling pubmed-90787822022-05-08 Network Blockchain Security Sharing Model Based on Fuzzy Logic Li, Ming Xiao, Peng Comput Intell Neurosci Research Article In light of the continuous development of Internet technology, many problems involving network security based on the blockchain have also been observed gradually. In this paper, the existence forms of network security hazards based on the blockchain are explored to establish a network blockchain security sharing model based on fuzzy logic. In security sharing, network blockchains are often maintained by many parties. This poses new potential threats and challenges to privacy protection in these multiparty network blockchains. This paper proposes a research scheme for a network blockchain security sharing model based on fuzzy logic. The tampering of the protected network blockchain is prevented by blockchain, and the fuzzy logic algorithm is used to ensure its confidentiality. This solution allows the exchange in the protected network blockchain and the security of transaction information based on the fuzzy logic algorithm. According to the results of the experiments, this method can ensure security sharing of the network blockchain with high practicality and achieve the expected design effect. Hindawi 2022-04-30 /pmc/articles/PMC9078782/ /pubmed/35535188 http://dx.doi.org/10.1155/2022/1509000 Text en Copyright © 2022 Ming Li and Peng Xiao. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Ming
Xiao, Peng
Network Blockchain Security Sharing Model Based on Fuzzy Logic
title Network Blockchain Security Sharing Model Based on Fuzzy Logic
title_full Network Blockchain Security Sharing Model Based on Fuzzy Logic
title_fullStr Network Blockchain Security Sharing Model Based on Fuzzy Logic
title_full_unstemmed Network Blockchain Security Sharing Model Based on Fuzzy Logic
title_short Network Blockchain Security Sharing Model Based on Fuzzy Logic
title_sort network blockchain security sharing model based on fuzzy logic
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9078782/
https://www.ncbi.nlm.nih.gov/pubmed/35535188
http://dx.doi.org/10.1155/2022/1509000
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