An Improved BFT Algorithm in Traceability Data for Supply Chain

BFT (Byzantine Fault Tolerance) is a set of fault-tolerance techniques used in distributed computing. In traditional supply chain traceability processes, centralized databases are vulnerable to errors and data tampering. By integrating the BFT consensus algorithm with an alliance blockchain, it is possible to address security challenges such as data deletion, misuse, application attacks, and reduced efficiency in storing supply chain traceability data. This approach represents a future trend for the secure and efficient storage and management of supply chain traceability information.

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Publication Details

Journal
International Journal of Advanced Computer Science and Applications
Published
2025-01-01
DOI
https://doi.org/10.14569/ijacsa.2025.0160995
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

An Improved BFT Algorithm in Traceability Data for Supply Chain

Boxiong Yang, Rongwang Jiang, Shuicheng Yan, Zhiyong Liang
International Journal of Advanced Computer Science and Applications
Big Data and Business Intelligence
article

An Improved BFT Algorithm in Traceability Data for Supply Chain

Boxiong Yang, Rongwang Jiang, Shuicheng Yan, Zhiyong Liang
article en

Abstract

BFT (Byzantine Fault Tolerance) is a set of fault-tolerance techniques used in distributed computing. In traditional supply chain traceability processes, centralized databases are vulnerable to errors and data tampering. By integrating the BFT consensus algorithm with an alliance blockchain, it is possible to address security challenges such as data deletion, misuse, application attacks, and reduced efficiency in storing supply chain traceability data. This approach represents a future trend for the secure and efficient storage and management of supply chain traceability information.

International Journal of Advanced Computer Science and ApplicationsVol. 16(9)
Openalex Percentile: Top 55%
Big Data and Business Intelligence
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