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. |
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| 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] |
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| Database: | Engineering Source |
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