Blockchain-Based Educational Record System with Improved Byzantine Algorithm and Proof of Stake

To address the limitations of traditional educational record management systems in terms of data security, trustworthiness, and consensus efficiency, this study designs a blockchain-based educational record management system and proposes an enhanced consensus algorithm, REL-PosBFT, which integrates a dynamic reputation model and a hierarchical architecture. The system adopts a multi-role collaboration mechanism, incorporating Verifiable Random Functions, Threshold Signatures, and dynamic reputation evaluation to achieve trustworthy data recording and adaptive access control. A simulation environment is built using NS-3 and Docker to evaluate the system’s performance in latency, throughput, and security. Experimental results show that REL-PosBFT delivers superior response speed and scalability in high-concurrency, multi-node scenarios, demonstrating greater stability and practicality compared to the original PoS-BFT and mainstream consensus algorithms.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/cisce65916.2025.11064953
Citations
1
Primary Topic
Blockchain Technology in Education and Learning
Type
article
Field-Weighted Citation Impact
3.25

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article

Blockchain-Based Educational Record System with Improved Byzantine Algorithm and Proof of Stake

Yanting Zhou, Nuo Chen, Wei Chen, Ziqing Huang et al.
1 citations
Blockchain Technology in Education and Learning
3.25
article

Blockchain-Based Educational Record System with Improved Byzantine Algorithm and Proof of Stake

Yanting Zhou, Nuo Chen, Wei Chen, Ziqing Huang, Changyue Wang
article en
1 citations

Abstract

To address the limitations of traditional educational record management systems in terms of data security, trustworthiness, and consensus efficiency, this study designs a blockchain-based educational record management system and proposes an enhanced consensus algorithm, REL-PosBFT, which integrates a dynamic reputation model and a hierarchical architecture. The system adopts a multi-role collaboration mechanism, incorporating Verifiable Random Functions, Threshold Signatures, and dynamic reputation evaluation to achieve trustworthy data recording and adaptive access control. A simulation environment is built using NS-3 and Docker to evaluate the system’s performance in latency, throughput, and security. Experimental results show that REL-PosBFT delivers superior response speed and scalability in high-concurrency, multi-node scenarios, demonstrating greater stability and practicality compared to the original PoS-BFT and mainstream consensus algorithms.

Guangxi Medical University (CN), City University of Hong Kong (HK), Yantai University (CN), Dongguan University of Technology (CN), Yantai Academy of Agricultural Sciences (CN), City College of Dongguan University of Technology (CN), China Agricultural University (CN)
Guangxi Medical University
Openalex Percentile: Top 8%
Blockchain Technology in Education and Learning
3.25
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