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Cloud-based blockchain technology to identify counterfeits

delete2022-10-20
delete9
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OA
AI
V
Vinodhini Mani *
M
M. Prakash
W
Wen‐Cheng Lai
DOI:10.1186/s13677-022-00341-2delete
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摘要

摘要

En 中文
Multi-stakeholder and organizational involvement is an integral part of the medicine supply chain. Keeping track of the activities associated with medical products is difficult when the system is complex. Their complexity limits transparency and data provenance. Deficiencies within existing supply chains result in the counterfeiting of drugs, illegal imports, and inefficient operations. Due to these limitations, product integrity is compromised, resulting in product wastage. Visibility of the entire product supply chain is crucial for the pharmaceutical industry in terms of product safety and reduction of manufacturing costs. The Cloud-based Blockchain-powered architecture of the system provides a platform for addressing the need of pharma-material traceability, data storage, privacy of data, and quality assurance. This framework comprises of the identification of activities through tagging, information sharing in a secure environment; cloud-based storage using an off-chain Interplanetary File System (IPFS) and an on-chain couch DB; and access to this information that is controlled by the system's regulator. Electronic drug records will be accessed via a smart contract in Hyperledger Blockchain. The system assists in identifying false and cross-border products through the manufacturer and country of origin. A scan will identify counterfeit medications, showing that they are unauthorized products which may pose a risk to patients. Our experiments demonstrated the efficiency and usability of the design platform. Finally, we benchmarked the system using Hyperledger Caliper.
Keyword:
Privacy
Distributed ledger
Supply chain visibility
Access control
Pharmaceutical supply chain
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期刊

J
Journal of Cloud Computing-Advances Systems and Applications
IF:
4.3
论文数:
768
被引数:
2.2K

机构

N
national yunlin university science & technology
学者数:
3.2K
论文数: 3.3K
被引数: 1
S
srm institute of science & technology chennai
学者数:
9.4K
论文数: 7.4K
被引数: 9
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