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Research on Wine Traceability System Based on Edge Computing
DOI:10.1016/j.bcra.2025.100394.png)
Abstract
En 中文
Blockchain traceability technology ensures the authenticity, security and compliance of product information and data sources. The data-centricity of traditional blockchain traceability models in the wine industry leads to a lack of inter-chain interoperability, resulting in difficulties in data sharing, high traceability delays and tampering risks To address these shortcomings, this study proposes a novel wine traceability model that integrates edge computing with blockchain technology. By leveraging the computational power of edge nodes, sensor data is processed through fusion and authenticated via digital signature technology before being directly deployed to the blockchain, bypassing the performance bottlenecks of traditional centralized servers and reducing traceability latency.The system employs the K-DGR consensus algorithm, which utilizes dynamic reputation evaluation and clustering mechanisms to effectively identify and isolate Byzantine or faulty nodes, mitigating their negative impact on system performance while enhancing the stability and security of the entire blockchain network. Additionally, the ICP-ABE security mechanism combines dual identity verification with attribute-based encryption to effectively prevent malicious tampering, improving system reliability. Blockchain technology further ensures secure data communication among edge nodes. The experimental results demonstrate the efficacy of the proposed model. Specifically, the upload time for wine traceability data is reduced to 1.12 seconds, reflecting a 49.7% improvement. Similarly, the edge node entry time is reduced to 250 milliseconds, representing a 65% reduction in traceability latency. Moreover, the decentralized edge multi-chain architecture exhibits a storage capacity utilization of just 20% compared to a single-chain system, thus achieving a substantial improvement in resource utilization efficiency.
Keywords:
Blockchain
K-DGR Consensus Mechanism
ICP-ABE encryption mechanism
Edge Computing
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Journal
B
IF:
0
Papers:
87
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0

