TY - JOUR
T1 - Improving Vaccine Safety Using Blockchain
AU - Cui, Laizhong
AU - Xiao, Zhe
AU - Wang, Jiahao
AU - Chen, Fei
AU - Pan, Yi
AU - Dai, Hua
AU - Qin, Jing
N1 - Funding Information:
This work was partially supported by National Key R&D Program of China under Grant No. 2018YFB1800302, National Natural Science Foundation of China under Grant No. (61872243, 61872197, 61772345, 61702342), Guangdong Basic and Applied Basic Research Foundation (2020A151501489), the Science and Technology Plan Projects of Shenzhen (JCYJ20190808142207420, JCYJ20180305124126741), a project from Jiangsu Key Laboratory of Big Data Security & Intelligent Processing NJUPT, a project from Webank and SZU-Webank Fintech Research Institute, and a grant from the Hong Kong Polytechnic University (project no. ZE8J). Authors’ addresses: L. Cui, Z. Xiao, J. Wang, and F. Chen, College of Computer Science and Software Engineering, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518000, China; emails: [email protected], [email protected], [email protected], [email protected]; F. Chen (corresponding author), Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China (the authors are also with National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University and Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, 518000, China); Y. Pan, Department of Computer Science, Georgia State University, Atlanta, GA, USA; email: [email protected]; H. Dai, School of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China; email: [email protected]; J. Qin, Center for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Nanjing, 210023, China; email: [email protected]. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]. © 2021 Association for Computing Machinery. 1533-5399/2021/05-ART38 $15.00 https://doi.org/10.1145/3388446
Publisher Copyright:
© 2021 Association for Computing Machinery.
PY - 2021/6
Y1 - 2021/6
N2 - In recent years, vaccine incidents occurred around the world, which endangers people's lives. In the technical respect, these incidents are partially due to the fact that existing vaccine management systems are distributively managed by different entities in the vaccine supply chain. This architecture makes it relatively easy to modify or even delete the vaccine circulation data maliciously, which makes tracing problematic vaccine hard and identifying the responsibility for a vaccine accident hard. To solve these issues, this article presents a blockchain-based solution to protect the whole process of vaccine circulation. We first propose a model to supervise the vaccine circulation process by incorporating existing regulatory practices. Then, we propose a blockchain-based tracing system to implement this model. The proposed system takes the blockchain as a global, unique, and verifiable database to store all the circulation data. Through data insertions and queries on the global and unique database, the proposed system achieves the protection of vaccine circulation. We also implement a proof-of-concept prototype of the proposed system. Experimental results confirm that the proposed system is beneficial.
AB - In recent years, vaccine incidents occurred around the world, which endangers people's lives. In the technical respect, these incidents are partially due to the fact that existing vaccine management systems are distributively managed by different entities in the vaccine supply chain. This architecture makes it relatively easy to modify or even delete the vaccine circulation data maliciously, which makes tracing problematic vaccine hard and identifying the responsibility for a vaccine accident hard. To solve these issues, this article presents a blockchain-based solution to protect the whole process of vaccine circulation. We first propose a model to supervise the vaccine circulation process by incorporating existing regulatory practices. Then, we propose a blockchain-based tracing system to implement this model. The proposed system takes the blockchain as a global, unique, and verifiable database to store all the circulation data. Through data insertions and queries on the global and unique database, the proposed system achieves the protection of vaccine circulation. We also implement a proof-of-concept prototype of the proposed system. Experimental results confirm that the proposed system is beneficial.
KW - blockchain
KW - smart contract
KW - supply chain
KW - Vaccine safety
UR - http://www.scopus.com/inward/record.url?scp=85114272952&partnerID=8YFLogxK
U2 - 10.1145/3388446
DO - 10.1145/3388446
M3 - Journal article
AN - SCOPUS:85114272952
SN - 1533-5399
VL - 21
JO - ACM Transactions on Internet Technology
JF - ACM Transactions on Internet Technology
IS - 2
M1 - 3388446
ER -