Securing supply chain through blockchain-integrated algorithmic system: ensuring product quality and counterfeiting tags detection
【Author】 Jahani, Meysam; Raji, Fatemeh; Zojaji, Zahra
【Source】CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
【影响因子】2.303
【Abstract】Poor-quality products and counterfeit tags within the supply chains pose major challenges. Although several approaches have been suggested, they do not address all the challenges. This paper proposes a blockchain-integrated supply chain to tackle the poor-quality products and counterfeiting tags issues. In this way, the requirements for secure supply chain system are identified, and several algorithms are proposed. The reliable manufacturer selection algorithm improves product quality using participant opinions. Smart traceability algorithm monitors the product path using sensors, preventing the distribution of poor-quality products in the supply chain. Additionally, two counterfeit tag detection algorithms employ a weighted graph to simulate the shortest paths for product distribution to identify cloning, application, and modification attacks on the products tags. Detailed security, scalability, performance, and comparative analyses for the drug supply chain shows the proposed system successfully improves product quality and accurately detects counterfeit tags without a significant drop in performance.
【Keywords】Securing supply chain; Reliable manufacturers selection; Product quality; Counterfeit tags detection
【发表时间】2025 FEB
【收录时间】2024-11-06
【文献类型】理论模型
【主题类别】
区块链应用-实体经济-供应链
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