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Research Article | Open Access |

An Improved BFT Algorithm in Traceability Data for Supply Chain

Author 1: Zhiyong Liang Author 2: Rongwang Jiang Author 3: Ming Yang Author 4: Boxiong Yang
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 16, No. 9 · Published 2025

DOI: https://doi.org/10.14569/IJACSA.2025.0160995

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Abstract

Byzantine Fault Tolerance (BFT) is a class of faulttolerance techniques in the field of distributed computing. Aiming at the risks of error-prone and tampering data brought by the centralized database in the traditional supply chain traceability process, the use of the BFT consensus algorithm in combination with the alliance blockchain can be used to solve the security problems such as data deletion, data misuse, application attacks, and efficiency reduction in the storage process of supply chain traceability data. This will be the future trend of safe and orderly storage and management of supply chain traceability data.

Keywords

Tendermint BFT consensus consortium blockchain traceability data for supply chain

How to Cite this Article

Liang, Z., Jiang, R., Yang, M., & Yang, B. (2025). An Improved BFT Algorithm in Traceability Data for Supply Chain. International Journal of Advanced Computer Science and Applications, 16(9). https://doi.org/10.14569/IJACSA.2025.0160995

Liang, Zhiyong, et al.. "An Improved BFT Algorithm in Traceability Data for Supply Chain." International Journal of Advanced Computer Science and Applications, vol. 16, no. 9, 2025, https://doi.org/10.14569/IJACSA.2025.0160995.

@article{Liang2025,
  title     = {An Improved BFT Algorithm in Traceability Data for Supply Chain},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {9},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Zhiyong Liang and Rongwang Jiang and Ming Yang and Boxiong Yang},
  doi       = {10.14569/IJACSA.2025.0160995},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160995}
}

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