Apeksha Vatte,
Giridhar Chinchakar,
Akshay Kamble,
Rohit Vishwakarma,
- Student, Department of computer Engineering RD’ Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India
- Student, Department of computer Engineering RD’ Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India
- Student, Department of computer Engineering RD’ Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India
- Student, Department of computer Engineering RD’ Shri Chhatrapati Shivajiraje College of Engineering, Dhangwadi, Bhor, Pune, Maharashtra, India
Abstract
For consumers, corporations, and regulatory agencies, the worldwide market’s rise of counterfeit goods presents serious issues. Maintaining consumer confidence, guaranteeing product safety, and preserving brand reputation all depend on the ability to identify counterfeit goods. An overview of the different approaches and difficulties associated with spotting counterfeit goods is given in this abstract. First off, the ability to identify sophisticated counterfeit goods is limited by the use of conventional techniques like eye inspection and authenticity labels. Two innovative technologies that have emerged as viable tools for combating counterfeit identification are machine learning algorithms and blockchain technology. Large-scale data analysis using machine learning models can spot trends that point to fake goods, while blockchain technology allows safe product identification and traceability. The ability of counterfeiters to evade detection techniques, the absence of standardised authentication standards, and the complexity of international supply chains are obstacles in the identification of fake products. Furthermore, the sale of counterfeit goods has been made easier by the quick expansion of online marketplaces, making it difficult for customers to tell the difference between real and imitation goods.
Keywords: Blockchain, Ethereum, counterfeit, QR code, blockchain, counterfeit, supply chain
[This article belongs to International Journal of Radio Frequency Innovations(ijrfi)]
References
- Si Chen, Rui Shi, Zhuangyu Ren, Jiaqi Yan, Yani Shi, Jinyu Zhang, “A Blockchain-based Supply Chain Quality Management Framework”, 14th, IEEE International Conference on e-Business Engineering, 2021
- Mitsuaki Nakasumi, “Information Sharing for Supply Chain Management based on Block Chain Technology”, 19th Conference on Business Informatic, IEEE, 2020
- Srivastava and A. D. Kalro, ” Enhancing the helpfulness of online consumer reviews: The role of latent (content) factors ,” J. Interact. Marketing, Nov2020.
- RUIGUO YU et aI, “Authentication With Block-Chain Algorithm and Text Encryption Protocol in Calculation of Social Network, IEEE Access November 28,2021.
- Counterfeit Product Detection IOSR Journal of Engineering (Sandeep Hembade, Mayur Patil, Anmol Gandhi, Prof. Krishnanjali Shinde, 2022
- Haq, Ijazul & Muselemu, (2018). Blockchain Technology in Pharmaceutical Industry to Prevent Counterfeit Drugs. International Journal of Computer Applications. 180. 8-12. 10.5120/ijca2018916579.
- Feng Tian, “An agri-food supply chain traceability system for China based on RFID & blockchain technology,” 2020 13th International Conference on Service Systems and Service Management (ICSSSM), 2016, 1–6, doi: 10.1109/ICSSSM.2016.7538424.
- William, P. Kumar, G. S. Chhabra and K. Vengatesan, “Task Allocation in Distributed Agile Software Development using Machine Learning Approach,” 2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON), 2021, pp. 168–172, doi: 10.1109/CENTCON52345.2021.9688114.
- Ahamed NN, Vignesh R, Alam T. Tracking and tracing the halal food supply chain management using blockchain, RFID, and QR code. Multimedia Tools and Applications. 2023 Nov 3:1–26.
- Bandyopadhyay A, Karmakar J, Raj K, Swain S. Fake Medicine Detection Using Blockchain in Metaverse Domain. In Healthcare Services in the Metaverse 2024 May 2 (pp. 154–169). CRC Press.
- Kamišalić A, Kramberger R, Fister Jr I. Synergy of blockchain technology and data mining techniques for anomaly detection. Applied Sciences. 2021 Aug 29;11(17):7987.
- Liu X, Shah R, Shandilya A, Shah M, Pandya A. A systematic study on integrating blockchain in healthcare for electronic health record management and tracking medical supplies. Journal of Cleaner Production. 2024 Apr 1;447:141371.
- Islam I, Islam MN. A blockchain based medicine production and distribution framework to prevent medicine counterfeit. Journal of King Saud University-Computer and Information Sciences. 2024 Jan 1;36(1):101851.
| Volume | 02 |
| Issue | 01 |
| Received | May 26, 2024 |
| Accepted | June 27, 2024 |
| Published | July 30, 2024 |