Fake Product Identification Using Blockchain Technology

Year : 2024 | Volume :14 | Issue : 02 | Page : 26-35
By

Padma Bhogaraju,

Venkata Lakshmi,

Vinay Akash T,

Sasi Vinay K,

Santhi Krishna B,

  1. Associate Professor Department of CSE Gayatri Vidya Parishad College of Degree & PG Courses(A) Visakhapatnam Andhra Pradesh
  2. Student Department of CSE Gayatri Vidya Parishad College of Degree & PG Courses(A) Visakhapatnam Andhra Pradesh India
  3. student Department of CSE Gayatri Vidya Parishad College of Degree & PG Courses(A) Visakhapatnam Andhra Pradesh India
  4. Student Department of CSE Gayatri Vidya Parishad College of Degree & PG Courses(A) Visakhapatnam Andhra Pradesh India
  5. Student Department of CSE Gayatri Vidya Parishad College of Degree & PG Courses(A) Visakhapatnam Andhra Pradesh India

Abstract

Blockchain technology has founded to detect fakes fast and identify genuine products possible. Essentially, Block chain is a sort of digital ledger which stores business information in blocks across several lots of databases that are connected through chains. The reason why Block chain is secure lies in decentralization that prevents any unauthorized changes to saved facts. By leveraging Block chain technology, clients can guarantee the genuity of their items without intermediate agents. The main approach aimed at tackling fake commodities entails provision of individual QR codes for each product as contained within the Blockchain’s blocks. The Authentication of Manufacturer is carried by face Recognition, matching with Manufacturer ID and Manufacturer name. These product codes can be generated by manufacturers or sellers giving a unique QR for product. Whenever users check these QRs into the system, the Blockchain system verifies whether the product is authentic or not. In case there are differences identified, customers are immediately notified about possible whether it is genuine or not.

Keywords: Blockchain technology, distributed ledger, authentication, decentralization, fake

[This article belongs to Journal of Production Research & Management(joprm)]

How to cite this article: Padma Bhogaraju, Venkata Lakshmi, Vinay Akash T, Sasi Vinay K, Santhi Krishna B. Fake Product Identification Using Blockchain Technology. Journal of Production Research & Management. 2024; 14(02):26-35.
How to cite this URL: Padma Bhogaraju, Venkata Lakshmi, Vinay Akash T, Sasi Vinay K, Santhi Krishna B. Fake Product Identification Using Blockchain Technology. Journal of Production Research & Management. 2024; 14(02):26-35. Available from: https://journals.stmjournals.com/joprm/article=2024/view=156592

References

  1. ASPA, The state of counterfeiting in India 2021 (2021)
  2. Lu, Detection of Counterfeit products using Blockchain, Journal of Management Analytics 5, 1 (2018)
  3. Peck, Detection of Counterfeit products using Blockchain, IEEE Spectrum 54, 26 (2017).
  4. Idrees, M. Nowostawski, R. Jameel, A. Mourya, Security Aspects of Blockchain Technology Intended for Industrial Applications, Electronics 10, 951 (2021).
  5. Ma, S.Y. Lin, X. Chen, H.M. Sun, Y.C. Chen, H. Wang, A blockchain based application system for product anticounterfeiting, IEEE Access 8, 77642 (2020).
  6. J.L.I.N.M. J.M. Bohli, N. Gruschka, Detection of Counterfeit products using Blockchain, IEEE 10, 9 (2013).
  7. Shaik, Preventing Counterfeit Products using cryptography, QR code and web service, Computer Science & Engineering: An International Journal (CSEIJ) 11 (2021).
  8. A. Benatia, D. Baudry, A. Louis, Journal of Ambient Intelligence and Humanized Computing pp. 1–10 (2020).
  9. Khalil, R. Doss, M. Chowdhury, IEEE Access 8, 47952 (2020) [12] M.A. Habib, M.B. Sardar, S. Jabbar, C.N. Faisal, N. Mahmood, M. Ahmad, Blockchain-based supply chain for the automation of transaction.
  10. Liu, J., Yeoh, W., Qu, Y., & Gao, L. (2022). Blockchain-based digital twin for supply chain management: State-of-the-art review and future research directions. arXiv preprint arXiv:2202.03966.

Regular Issue Subscription Original Research
Volume 14
Issue 02
Received May 24, 2024
Accepted June 5, 2024
Published July 17, 2024