Blockchain and SC-PBFT Enabled Traceability Method for Vaccine Supply Chain

Huixin Yang, Zhiheng Zhao, Mengdi Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The demand for vaccines is rising due to increased public health awareness and advances in biotechnology, but since most vaccine traceability systems are centralized, there are still issues with data integrity, security, and authenticity in the vaccine supply chain. This paper proposes a method for vaccine supply chain traceability based on the distributed and traceable characteristics of blockchain, along with IoT edge devices and cloud service technology, in order to realize decentralized, transparent, safe, and efficient vaccine information traceability. Blockchain ensures the authenticity, transparency, and traceability of data. The structure of the cloud-edge combination improves the efficiency and stability of the traceability platform. However, the Practical Byzantine Fault Tolerance (PBFT) mechanism has the issue of performance degradation when the number of nodes is high; consequently, we proposed Practical Byzantine Fault Tolerance for Supply Chain (SC- PBFT) to make it adapt to vaccine supply chain scenarios that have a large number of nodes. SC-PBFT elects the master node through a reasonable rating system. Meanwhile, the data synchronization verification mechanism has been added. The experimental findings demonstrate that the SC-PBFT algorithm can significantly lower consensus latency and increase Transaction Per Second (TPS). The proposed traceability method fixes the issues with the current centralized traceability system's insufficient data and easy forgery. The consensus efficiency of the data and the method's feasibility are both enhanced by the SC-PBFT.

Original languageEnglish
Title of host publicationProceedings - 2023 China Automation Congress, CAC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3639-3645
Number of pages7
ISBN (Electronic)9798350303759
DOIs
Publication statusPublished - Nov 2023
Event2023 China Automation Congress, CAC 2023 - Chongqing, China
Duration: 17 Nov 202319 Nov 2023

Publication series

NameProceedings - 2023 China Automation Congress, CAC 2023

Conference

Conference2023 China Automation Congress, CAC 2023
Country/TerritoryChina
CityChongqing
Period17/11/2319/11/23

Keywords

  • Blockchain
  • consensus mechanism
  • Internet of Things
  • vaccine supply chain
  • vaccine traceability

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Optimization
  • Modelling and Simulation

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