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A Food Traceability Framework Based on Permissioned Blockchain

Jiuliang Liu1,*, Xingming Sun1, Ke Song2

1 School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China
2 Xuchang XJ Wind Power Technology Co., Ltd., Xuchang, 461000, China

* Corresponding Author: Jiuliang Liu. Email: email

Journal of Cyber Security 2020, 2(2), 107-113. https://doi.org/10.32604/jcs.2020.011222

Abstract

In recent years, food safety problems have become increasingly serious. The traditional supply chain traceability solution faces some serious problems, such as centralization, data tampering, and high communication costs. To solve these problems, this paper proposes a food traceability framework based on permissioned blockchain. The proposed framework is decentralized, and the supply chain data of the framework cannot be tampered with. The framework divides supply chain entities into five organizations, and each organization deploys its own chaincode onto the blockchain. The chaincode specifies the query permission of each organization, which can effectively protect the user’s sensitive information. The PBFT consensus algorithm adopted by the framework improves the performance of processing transactions. The transactional throughput experiment shows that the proposed framework can achieve a high number of transactions per second. Query efficiency experiment demonstrates that the framework has lower query latency and good user experience.

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APA Style
Liu, J., Sun, X., Song, K. (2020). A food traceability framework based on permissioned blockchain. Journal of Cyber Security, 2(2), 107-113. https://doi.org/10.32604/jcs.2020.011222
Vancouver Style
Liu J, Sun X, Song K. A food traceability framework based on permissioned blockchain. J Cyber Secur . 2020;2(2):107-113 https://doi.org/10.32604/jcs.2020.011222
IEEE Style
J. Liu, X. Sun, and K. Song "A Food Traceability Framework Based on Permissioned Blockchain," J. Cyber Secur. , vol. 2, no. 2, pp. 107-113. 2020. https://doi.org/10.32604/jcs.2020.011222

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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