The Reliability of Distributed Network Data Storage Based on Blockchain Consensus Algorithm

With the acceleration of digitalization, distributed network data storage is widely applied but faces challenges like data vulnerability to attacks and difficulties in ensuring integrity. Methods: This paper analyzes existing challenges and proposes a model integrating an improved PBFT algorithm with hash encryption technology, based on blockchain consensus, optimizing node communication and verification. Results: In a 90-day simulation, the dynamic incentive group showed a 156% increase in average node online time and 89% storage capacity utilization, outperforming the fixed reward group. Conclusion: The solution significantly enhances system storage efficiency, data security, and risk resistance.

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Publication Details

Published
2025-07-25
DOI
https://doi.org/10.1109/icdsns65743.2025.11168617
Primary Topic
Advanced Technology in Applications
Type
article
Field-Weighted Citation Impact
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article

The Reliability of Distributed Network Data Storage Based on Blockchain Consensus Algorithm

Jinyong Huang
Advanced Technology in Applications
article

The Reliability of Distributed Network Data Storage Based on Blockchain Consensus Algorithm

Jinyong Huang
article en

Abstract

With the acceleration of digitalization, distributed network data storage is widely applied but faces challenges like data vulnerability to attacks and difficulties in ensuring integrity. Methods: This paper analyzes existing challenges and proposes a model integrating an improved PBFT algorithm with hash encryption technology, based on blockchain consensus, optimizing node communication and verification. Results: In a 90-day simulation, the dynamic incentive group showed a 156% increase in average node online time and 89% storage capacity utilization, outperforming the fixed reward group. Conclusion: The solution significantly enhances system storage efficiency, data security, and risk resistance.

Hubei Engineering University (CN)
Openalex Percentile: Top 61%
Advanced Technology in Applications
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