@Article{jcs.2020.011222,
AUTHOR = {Jiuliang Liu, Xingming Sun, Ke Song},
TITLE = {A Food Traceability Framework Based on Permissioned Blockchain},
JOURNAL = {Journal of Cyber Security},
VOLUME = {2},
YEAR = {2020},
NUMBER = {2},
PAGES = {107--113},
URL = {http://www.techscience.com/JCS/v2n2/39510},
ISSN = {2579-0064},
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.},
DOI = {10.32604/jcs.2020.011222}
}