TY - JOUR
T1 - Securing supply chain through blockchain-integrated algorithmic system: ensuring product quality and counterfeiting tags detection
AU - Jahani, Meysam
AU - Raji, Fatemeh
AU - Zojaji, Zahra
PY - 2024/10/28
Y1 - 2024/10/28
N2 - 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.
AB - 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.
KW - Counterfeit tags detection
KW - Product quality
KW - Reliable manufacturers selection
KW - Securing supply chain
UR - http://www.scopus.com/inward/record.url?scp=85208120356&partnerID=8YFLogxK
UR - https://link.springer.com/article/10.1007/s10586-024-04764-1
U2 - 10.1007/s10586-024-04764-1
DO - 10.1007/s10586-024-04764-1
M3 - Article
SN - 1573-7543
VL - 28
JO - Cluster Computing
JF - Cluster Computing
M1 - 51
ER -