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P-PBFT: An improved blockchain algorithm to support large-scale pharmaceutical traceability.

Shannan Liu1, Ronghua Zhang1, Changzheng Liu1

  • 1College of Information Science and Technology, Shihezi University, Shihezi, China.

Computers in Biology and Medicine
|February 3, 2023
PubMed
Summary
This summary is machine-generated.

A new Pharmaceutical-Practical Byzantine Fault Tolerance (P-PBFT) algorithm improves blockchain-based pharmaceutical traceability by reducing latency and system overhead. This enhanced consensus mechanism supports larger scales and mitigates the impact of malicious nodes for more reliable drug tracking.

Keywords:
BlockchainCredit modelNode groupingPharmaceutical traceabilityPractical byzantine fault tolerance(PBFT)Voting mechanism

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Area of Science:

  • Blockchain Technology
  • Supply Chain Management
  • Distributed Systems

Background:

  • Current blockchain applications in pharmaceutical traceability suffer from high latency, system overhead, and limited scalability.
  • Existing consensus protocols struggle to meet the demands of large-scale, real-time pharmaceutical supply chains.
  • Need for a robust and efficient consensus mechanism tailored for pharmaceutical traceability.

Purpose of the Study:

  • To propose an optimized blockchain consensus algorithm, Pharmaceutical-Practical Byzantine Fault Tolerance (P-PBFT), for pharmaceutical traceability.
  • To address the limitations of high latency, system overhead, and scalability in current systems.
  • To enhance the reliability and efficiency of pharmaceutical supply chain tracking.

Main Methods:

  • Developed the P-PBFT algorithm, an enhancement of Practical Byzantine Fault Tolerance (PBFT).
  • Incorporated grouping and credit voting mechanisms into the consensus protocol.
  • Optimized consistency protocols and divided network nodes into consensus sets based on response speed for grouping consensus.

Main Results:

  • The P-PBFT algorithm demonstrated significantly smaller latency and higher throughput in pharmaceutical traceability systems.
  • Achieved support for larger-scale traceability networks.
  • Effectively reduced inter-node communication and mitigated the influence of malicious nodes.

Conclusions:

  • The P-PBFT consensus algorithm offers a superior solution for blockchain-based pharmaceutical traceability.
  • The proposed method enhances system performance, scalability, and security.
  • P-PBFT provides a reliable framework for managing and tracking pharmaceuticals in complex supply chains.