Securing supply chain through blockchain-integrated algorithmic system: ensuring product quality and counterfeiting tags detection

Meysam Jahani, Fatemeh Raji, Zahra Zojaji*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)

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.

Original languageEnglish
Article number51
JournalCluster Computing
Volume28
DOIs
Publication statusPublished - 28 Oct 2024

Keywords

  • Counterfeit tags detection
  • Product quality
  • Reliable manufacturers selection
  • Securing supply chain

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