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An improved PBFT consensus algorithm based on grouping and credit grading.

Shannan Liu1, Ronghua Zhang2, Changzheng Liu3

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This study introduces a credit-based Byzantine fault-tolerant consensus algorithm (CBFT) to enhance blockchain networks. CBFT significantly improves throughput, reduces latency and communication overhead, and increases fault tolerance compared to existing methods.

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Area of Science:

  • Blockchain Technology
  • Distributed Systems
  • Computer Science

Background:

  • Practical Byzantine Fault Tolerance (PBFT) suffers from high communication overhead and limited network scalability.
  • Existing consensus algorithms struggle to balance efficiency, security, and network size.

Purpose of the Study:

  • To propose an enhanced Byzantine fault-tolerant consensus algorithm (CBFT) that addresses the limitations of PBFT.
  • To improve communication efficiency, network size support, and security in blockchain consensus.

Main Methods:

  • Developed a novel Credit-based Byzantine Fault-Tolerant (CBFT) consensus algorithm.
  • Implemented a grouping model dividing nodes by response speed for separate intra- and inter-group consensus.
  • Integrated a credit model to assign different responsibilities to node types, reducing malicious master node probability.

Main Results:

  • CBFT demonstrated 3.1x higher throughput than PBFT and 1.5x higher than GPBFT with 52 nodes.
  • Latency was reduced to 7.4% of PBFT and 38.8% of GPBFT.
  • Communication overhead was reduced to 6.4% of PBFT and 87.3% of GPBFT.
  • Byzantine fault tolerance improved by 59.3% with 300 nodes, with gains increasing with network size.

Conclusions:

  • The proposed CBFT algorithm significantly enhances blockchain consensus efficiency and scalability.
  • CBFT offers a more secure and performant alternative to traditional PBFT, especially in large-scale networks.
  • The grouping and credit models effectively reduce communication overhead and mitigate risks associated with malicious nodes.