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A Regulatory Framework for Grain Supply Chains Based on Blockchain Node Reputation Calculation and Election.

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Title: A Regulatory Framework for Grain Supply Chains Based on Blockchain Node Reputation Calculation and Election.
Authors: Zhu, Han1 2020230578@jsnu.edu.cn, Wu, Sheng2 6020020047@jsnu.edu.cn
Source: IAENG International Journal of Computer Science. Mar2026, Vol. 53 Issue 3, p973-991. 19p.
Subjects: Blockchains, Reputation, Grain trade, Security management, Government regulation
Abstract: Although numerous studies have focused on enhancing the security and transaction traceability of grain supply chains, research on trust mechanisms and security supervision within supply chain systems remains insufficient. This paper proposes a decentralized regulatory framework for grain supply chains based on blockchain node reputation calculation and election mechanisms. The framework integrates PageRank and EigenTrust algorithms, incorporating evaluation metrics such as on-chain trust scores, historical transaction behaviors, service duration, and timeliness. A time decay factor is introduced to enhance the weight of recent behaviors, thereby establishing a multi-dimensional reputation evaluation model. Furthermore, through dynamic election mechanisms for master nodes and regulatory nodes, the framework achieves decentralized autonomous supervision dominated by high-reputation nodes. Experimental results demonstrate that the proposed framework effectively distinguishes malicious nodes from reliable ones. Compared with similar algorithms, it has stronger ability to resist collusion attack and satisfies practical application requirements in terms of system time efficiency, providing a novel methodology for security assurance and credible supervision in grain supply chains. [ABSTRACT FROM AUTHOR]
Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
  Group: Ti
  Data: A Regulatory Framework for Grain Supply Chains Based on Blockchain Node Reputation Calculation and Election.
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  Data: <searchLink fieldCode="AR" term="%22Zhu%2C+Han%22">Zhu, Han</searchLink><relatesTo>1</relatesTo><i> 2020230578@jsnu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Sheng%22">Wu, Sheng</searchLink><relatesTo>2</relatesTo><i> 6020020047@jsnu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Computer+Science%22">IAENG International Journal of Computer Science</searchLink>. Mar2026, Vol. 53 Issue 3, p973-991. 19p.
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  Data: <searchLink fieldCode="DE" term="%22Blockchains%22">Blockchains</searchLink><br /><searchLink fieldCode="DE" term="%22Reputation%22">Reputation</searchLink><br /><searchLink fieldCode="DE" term="%22Grain+trade%22">Grain trade</searchLink><br /><searchLink fieldCode="DE" term="%22Security+management%22">Security management</searchLink><br /><searchLink fieldCode="DE" term="%22Government+regulation%22">Government regulation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Although numerous studies have focused on enhancing the security and transaction traceability of grain supply chains, research on trust mechanisms and security supervision within supply chain systems remains insufficient. This paper proposes a decentralized regulatory framework for grain supply chains based on blockchain node reputation calculation and election mechanisms. The framework integrates PageRank and EigenTrust algorithms, incorporating evaluation metrics such as on-chain trust scores, historical transaction behaviors, service duration, and timeliness. A time decay factor is introduced to enhance the weight of recent behaviors, thereby establishing a multi-dimensional reputation evaluation model. Furthermore, through dynamic election mechanisms for master nodes and regulatory nodes, the framework achieves decentralized autonomous supervision dominated by high-reputation nodes. Experimental results demonstrate that the proposed framework effectively distinguishes malicious nodes from reliable ones. Compared with similar algorithms, it has stronger ability to resist collusion attack and satisfies practical application requirements in terms of system time efficiency, providing a novel methodology for security assurance and credible supervision in grain supply chains. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Blockchains
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      – SubjectFull: Reputation
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      – SubjectFull: Grain trade
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      – SubjectFull: Security management
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      – SubjectFull: Government regulation
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      – TitleFull: A Regulatory Framework for Grain Supply Chains Based on Blockchain Node Reputation Calculation and Election.
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              Text: Mar2026
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