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OPBFT: Optimized Practical Byzantine Fault Tolerant Consensus Mechanism Model

In: AI and Analytics for Public Health

Author

Listed:
  • Hui Wang

    (Nanjing University of Aeronautics and Astronautics)

  • Wenan Tan

    (Nanjing University of Aeronautics and Astronautics
    Shanghai Polytechnic University)

  • Jiakai Wu

    (Nanjing University of Aeronautics and Astronautics)

  • Pan Liu

    (Shenzhen Easttop Supply Chain Management Co., Ltd)

Abstract

Blockchain is a kind of decentralized distributed ledger technology. Consensus algorithm is one of the main technologies of blockchain. Its efficiency and security directly affect the overall performance of the blockchain systems. Nowadays, Practical Byzantine Fault Tolerance (PBFT) algorithm is widely applied in the consortium blockchain systems. However, this consensus algorithm cannot identify and remove Byzantine nodes in time. In order to address these problems, this paper proposes an Optimized Practical Byzantine Fault Tolerant (OPBFT) consensus algorithm. It contains an improved reputation model that evaluates the node’s credibility for different behaviors of the nodes during the consensus process, and integrates byzantine detection and degradation mechanisms to reduce the probability of malicious nodes becoming consensus nodes and solve the problem of increased transaction delay caused by it; Simultaneously, it adopts an optimized consistency protocol to reduce communication overhead and improve consensus efficiency. Finally, the argumentation and analysis are carried out from the aspects of communication overhead, throughput, delay and security.

Suggested Citation

  • Hui Wang & Wenan Tan & Jiakai Wu & Pan Liu, 2022. "OPBFT: Optimized Practical Byzantine Fault Tolerant Consensus Mechanism Model," Springer Proceedings in Business and Economics, in: Hui Yang & Robin Qiu & Weiwei Chen (ed.), AI and Analytics for Public Health, pages 123-135, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-75166-1_7
    DOI: 10.1007/978-3-030-75166-1_7
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    Cited by:

    1. Ji Tan & S. B. Goyal & Anand Singh Rajawat & Tony Jan & Neda Azizi & Mukesh Prasad, 2023. "Anti-Counterfeiting and Traceability Consensus Algorithm Based on Weightage to Contributors in a Food Supply Chain of Industry 4.0," Sustainability, MDPI, vol. 15(10), pages 1-19, May.

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