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Research on PBFT consensus algorithm for grouping based on feature trust.

Yong Wang¹, Meiling Zhong², Tong Cheng³

¹School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China.

Scientific Reports

|July 22, 2022

Summary

This summary is machine-generated.

This study introduces a Grouped Practical Byzantine Fault Tolerance (GPBFT) algorithm to enhance blockchain consensus. GPBFT improves security and performance by grouping nodes and using trust degrees for node selection.

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Area of Science:

Computer Science
Distributed Systems
Blockchain Technology

Background:

The consensus mechanism is critical for blockchain performance and security.
Practical Byzantine Fault Tolerance (PBFT) faces challenges with high latency and low throughput.

Purpose of the Study:

To propose a novel Grouped PBFT (GPBFT) consensus algorithm.
To improve the security and performance of blockchain systems.

Main Methods:

Utilizes the EigenTrust model to evaluate node trust degrees.
Employs trust degrees for electing master and proxy nodes.
Divides blockchain nodes into independent groups to reduce communication overhead.

Main Results:

GPBFT significantly reduces consensus latency and communication overhead.
The algorithm demonstrates improved throughput and overall performance.
Enhanced security through trust-based node selection and grouping.

Conclusions:

GPBFT offers a substantial improvement over traditional PBFT.
The proposed algorithm effectively addresses scalability and performance issues in large blockchain networks.
Feature trust-based grouping enhances the robustness and efficiency of blockchain consensus.