2023, Volume 7 Issue 2
Product Authentication and Traceability Using Blockchain
AUTHOR(S)
Mrs.R. Subapriya, S.Karthikeyan, S.Karthikeyan, A.Gokul Prasath, M.Shankar
DOI: https://doi.org/10.46647/ijetms.2023.v07i02.065
ABSTRACT
This article provides a comprehensive review on the use of blockchain technology in supply chain management, with a focus on product authentication and traceability. It then reviews the existing literature on the use of blockchain technology in supply chain management, including case studies and surveys. The product supply chain is a complex process that involves multiple stakeholders, including suppliers, manufacturers, distributors, retailers, and customers. Ensuring transparency, efficiency, and security throughout the supply chain is a challenging task.
This paper proposes a decentralized blockchain-based product supply chain management system with QR code verification that can improve transparency, efficiency, and security. The system allows manufacturers to enter product details, including brand name, logo and generates a unique QR code for each product. The QR code can be used by buyers to verify the authenticity of the product and track its movement through the supply chain. The methodology used includes Ganache, IPFS, Blockchain, Ethereum and Truffle.
Page No: 556 - 559
References:
1. Singh, A., & Verma, A. K. (2020). A blockchain-based solution for product authentication and traceability in supply chain management. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.
2. Thakur, P., & Gautam, S. (2019). A blockchain-based approach for product authentication and traceability in supply chain management. In 2019 2nd International Conference on Computing, Communications and Data Engineering (CCODE) (pp. 1-5). IEEE.
3. Yue Liu, Ju Yang and Mingjun Liu, "Recognition of QR Code with mobile phones", Control and Decision Conference CCDC 2008. Chinese, pp. 203-206, 2–4 July 2008. https://ieeexplore.ieee.org/document/4597299. IEEE.
4. K. Toyoda, P. T. Mathiopoulos, I. Sasase, T. Ohtsuki, IEEEaccess5, 17465(2017). IEEE.
5. X. Wang, L. T. Yang, X. Xie, J. Jin and M. J. Deen, "A cloud-edge computing framework for cyber-physical-social services", IEEE Communications Magazine, vol. 55, no. 11, pp. 80-85, 2017. https://ieeexplore.ieee.org/document/9408020. IEEE.
6. M. Nakasumi, Information sharing for supply chain management based on blockchain technology, in 2017 IEEE 19th conference on business informatics (CBI) (IEEE, 2017), Vol. 1, pp. 140–149.
7. Juan Benet, "IPFS: A Peer-to-Peer Distributed File System”, February 2015, Publisher: IEEE Xplore. https://ieeexplore.ieee.org/document/7163051. IEEE.
8. Swapna Gokhe, Sanket Shetye, Prasad Bhalekar, Sangeeta Kulkarni, "A Framework for Developing Decentralized Applications on Ethereum Blockchain", Publisher: IEEE Xplore (OCT 2018). https://ieeexplore.ieee.org/document/8520568. IEEE.
9. Jonas Ebel, Prof. Dr. rer. nat. Florian Matthes, Ulrich Gallersdörfer, M.Sc., “Augmenting the MetaMask-Wallet with Domain Name Based Authentication of Ethereum Accounts”, (15. April 2021). IEEE.
10. F. Casino, T. K. Dasaklis and C. Patsakis, "A systematic literature review of blockchain-based applications: Current status classification and open issues", Telematics Informat., vol. 36, pp. 55-81, Mar. 2019. https://ieeexplore.ieee.org/document/9219622. IEEE.
11. C. Shaik, Computer Science & Engineering: AnIn–ternational Journal (CSEIJ)11(2021). IEEE.
12. Sungwook Kim, Sungwon Lee, Eunsook Lee, "QR Code Recognition Using Support Vector Machine and Neural Network", IEEE Xplore (August 2014). https://ieeexplore.ieee.org/document/6909823.
13. Zhu Xiaoyang, "Design and Implementation of Backend System of Learning Platform Based on Node.js[J]", Computer Knowledge and Technology: Academic Edition, no. 5, pp. 116-118, 2019. https://ieeexplore.ieee.org/document/9424850.
14. Florian Tschorsch and Bjrn Scheuermann, "Bitcoin and beyond: A technical survey on decentralized digital currencies", IEEE Communications Surveys Tutorials, vol. 18, no. 3, pp. 2084-2123, 2016. https://ieeexplore.ieee.org/document/8494045.
15. M. Bebenita, F. Brandner, M. Fahndrich, F. Logozzo, W. Schulte, N. Tillmann, et al., "SPUR: a trace-based JIT compiler for CIL", Proceedings of the ACM international conference on Object oriented programming systems languages and applications - OOPSLA, vol. 10, pp. 708-725, Oct. 2010. https://ieeexplore.ieee.org/document/9596883.
How to Cite This Article:
Mrs.R. Subapriya, S.Karthikeyan, S.Karthikeyan, A.Gokul Prasath, M.Shankar
. Product Authentication and Traceability Using Blockchain
. ijetms;7(2):556-559. DOI: 10.46647/ijetms.2023.v07i02.065