Supply Chain Tracing and Anti-Counterfeiting with Distributed Ledger Technology

Main Article Content

Swati Bula Patil
Snehal Rahul Rathi
Ganesh C. Shelke
Shalini Vaibhav Wankhede
Manohar K. Kodmelwar
Kishor Renukadas Pathak
Komal M. Birare

Abstract

In recent times, there has been a rampant proliferation of counterfeit products that has left a trail of devastation in the manufacturing sectors. The repercussions of this extend to companies, impacting their brand reputation, revenue streams and overall profitability. Industries like agriculture, banking, electronics, and high-value deliveries uses the emergence of blockchain technology as a powerful tool to discern between authentic and counterfeit items. Its potential as a means to curtail the influx of fake products in the market is substantial. Blockchain technology, at its core, operates as a decentralized and distributed digital ledger system, meticulously recording transactions within interconnected blocks across multiple databases. The inherent security of this technology ensures the immutability of these blocks, rendering them invulnerable to alteration or hacking. By leveraging blockchain technology, consumers can independently verify the authenticity of a product, eliminating the need for reliance on third-party intermediaries. Incorporating recent technological advancements, the utilization of Quick Response (QR) codes offers a robust approach to combat the proliferation of counterfeit goods. The integration of blockchain technology with QR codes serves as a means to uphold the integrity of products. This innovative system securely stores product details and unique codes in the form of blocks,  where QR codes play a pivotal role in collecting and matching these unique codes with entries in the blockchain database. If the QR code matches with entries in the database, the user receives a confirmation of the product's authenticity; otherwise, an alert is triggered, signaling the presence of a counterfeit product.

Article Details

How to Cite
Patil, S. B. ., Rathi, S. R. ., Shelke, G. C. ., Wankhede, S. V. ., Kodmelwar, M. K. ., Pathak, K. R. ., & Birare, K. M. . (2023). Supply Chain Tracing and Anti-Counterfeiting with Distributed Ledger Technology. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11s), 656–664. https://doi.org/10.17762/ijritcc.v11i11s.8301
Section
Articles

References

Ahmad Musamih 1 , Khaled Salah 2 , (Senior Member, Ieee), Raja Jayaraman 1 , Junaid Arshad 3 , Mazin Debe 2 , Yousof Al-hammadi 2 , And Samer Ellahham ,”A Blockchain-based Approach For Drug Traceability In Healthcare Supply Chain”, Digital Object Identifier 10.1109/Access.2021.3049920

Udit Agarwal 1 , Vinay Rishiwal 1 , (Senior Member, Ieee), Sudeep Tanwar 2 , (Senior Member, Ieee), Rashmi Chaudhary 3 , (Member, Ieee), Gulshan Sharma4 , Pitshou N. Bokoro 4 , And Ravi Sharma 5 ,”Blockchain Technology For Secure Supply Chain Management: A Comprehensive Review”, Digital Object Identifier 10.1109/Access.2022.3194319

Sachin S. Kamble, Angappa Gunasekaran, Rohit Sharma, “Modeling the blockchain enabled traceability in agriculture supply chain”, International Journal of Information Management, Volume 52, June 2020, 101967

N. Anjum and P. Dutta, "Identifying Counterfeit Products using Blockchain Technology in Supply Chain System," 2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM), Seoul, Korea, Republic of, 2022, pp. 1-5, doi: 10.1109/IMCOM53663.2022.9721789.

Dhruman Gohil, Shivangi Viral Thakker, “Blockchain- integrated technologies for solving supply chain challenges”, Modern Supply Chain Research and Applications, 24 May 2021, ISSN: 2631-3871

Sarmistha Sarna Gomasta a, Aditi Dhali a, Tahlil Tahlil b, Md. Musfique Anwar a, A.B. M Shawkat Ali c, “PharmaChain: Blockchain-based drug supply chain provenance verification system”, Volume 9, Issue 7, July 2023, e17957

Kunal Wasnik, Isha Sondawle, Rushikesh Wani, and Namita Pulgam, “Detection of Counterfeit Products using Blockchain”, ITM Web of Conferences 44, 03015 (2022) ICACC-2022

Sukhmeet Singh, Nitin Sharma. (2023). Image Based Analysis for Bone Marrow Cancer Detection using Soft Computing Techniques: A Review. International Journal of Intelligent Systems and Applications in Engineering, 11(4s), 602–610. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2737

Maher A.N. Agi, Ashish Kumar Jha, “Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption”, International Journal of Production Economics, Volume 247, May 2022, 108458

Vincenzo Varriale, Antonello Cammarano , Francesca Michelino and Mauro Caputo,”Sustainable Supply Chains with Blockchain, IoT and RFID:A Simulation on Order Management,Sustainability 2021, 13, 6372. https://doi.org/10.3390/su13116372

GHAITH KHALIL , (Member, IEEE), ROBIN DOSS, AND MORSHED CHOWDHURY , (Member, IEEE),”A New Novel RFID-Based Anti-Counterfeiting Scheme for Retail Environments,Digital Object Identifier 10.1109/ACCESS.2020.2979264

Dr. Anasica S, Mrs. Sweta Batra. (2020). Analysing the Factors Involved In Risk Management in a Business. International Journal of New Practices in Management and Engineering, 9(03), 05 - 10. https://doi.org/10.17762/ijnpme.v9i03.89.

Nafisa Anjum, Pramit Dutta, “Identifying Counterfeit Products using Blockchain Technology in Supply Chain System”, arXiv:2206.08565v1 [cs.CR] 17 Jun 2022

Abhinav Sanghi, Aayush, Ashutosh Katakwar, Anshul Arora, Network Adi, “Detecting Fake Drugs using Blockchain”, International Journal of Recent Technology and Engineering (IJRTE), ISSN: 2277- 3878 (Online), Volume-10 Issue-1, May 2021

Vinodhini Mani, M. Prakash, and Wen Cheng Lai, “Cloud-based blockchain technology to identify counterfeits”, J Cloud Comput (Heidelb). 2022; 11(1): 67. Published online 2022 Oct 20. doi: 10.1186/s13677- 022-00341-2

Longo Francesco, Nicoletti Letizia, Padovano Antonio, d'Atri Gianfranco, and Marco Forte, "Blockchain- enabled supply chain: An experimental study." Computers & Industrial Engineering, Volume 136, October 2019.

Shuchih E. Chang, Yichian Chen, “When Blockchain Meets Supply Chain: A Systematic Literature Review on Current Development and Potential Applications”, IEEE Access, Volume 8, March 2020.

Anurag Upadhyay, Anshuman Bhargava, J Sathish Kumar, “Investigating to detect the fake medicines using blockchain technology”, https://doi.org/10.21203/rs.3.rs-3003120/v1

Macrinici Daniel, Cartofeanu Cristian, Shang Gao, "Smart contract applications within blockchain technology: A systematic mapping study." Telematics and Informatics, Volume 35, Issue 8, December 2018.

Ming K.Lim, Li Yan, Wang Chao, Ming Tseng, "A literature review of blockchain technology applications in supply chains: A comprehensive analysis of themes, methodologies and industries." Computers & Industrial Engineering, Volume 154, April 2021, 107133.

Jang Bahadur Saini, D. . (2022). Pre-Processing Based Wavelets Neural Network for Removing Artifacts in EEG Data. Research Journal of Computer Systems and Engineering, 3(1), 43–47. Retrieved from https://technicaljournals.org/RJCSE/index.php/journal/article/view/40.

Tushar Suryawanshi, Swapnil Jadhav, Subeg Singh Kapoor, Prof. Sonali Shinkar, “Fake Product Identification System Using Blockchain”, © 2023 IJCRT | Volume 11, Issue 5 May 2023 | ISSN: 2320- 2882

Kunal Wasnik1,?, Isha Sondawle1, Rushikesh Wani1, and Namita Pulgam1,”Detection of Counterfeit Products using Blockchain”,ITM Web of Conferences 44, 03015 (2022), https://doi.org/10.1051/itmconf/20224

Reza Soltani 1 , Marzia Zaman 2 , Rohit Joshi 3 and Srinivas Sampalli 1,Distributed Ledger Technologies and Their Applications:A Review,,Appl. Sci. 2022, 12, 7898. https://doi.org/ 10.3390/app12157898

Khizar Abbas , Muhammad Afaq, Talha Ahmed Khan and Wang-Cheol Song ,”A Blockchain and Machine Learning-Based Drug Supply Chain Management and Recommendation,Electronics 2020, 9, 852; doi:10.3390/electronics9050852