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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 4, APRIL 2024

RECOGNITION OF FRAUDULENT PRODUCTS USING BLOCKCHAIN

Dr.Umesh Akare, Prof. Girish Umaratkar, Parag Wadhai, Aayush Kharwade, Pranav Bante, Ayush Dandekar

DOI: 10.17148/IJARCCE.2024.13407

Abstract: One of the major obstacles that the Internet retail industry faces is the widespread availability of counterfeit goods. These false goods imitate the look of real branded products, which poses a serious problem for both the industry and consumers. It's shocking to learn that about 30% of the things sold online are fake. Blockchain technology has attracted more attention as a response to this expanding problem, providing creative ways to reduce the ubiquity of counterfeit goods. Supply chain authenticity and transparency are guaranteed by blockchain's decentralized and impenetrable structure. By offering a traceable and secure framework that protects customers from purchasing fake items, this technology has the potential to completely transform the online retail industry. This paper proposes a decentralized blockchain solution to empower consumers in identifying the originality of the products independently of distributors. By establishing a blockchain network with anti-counterfeiting features, manufacturers can deliver goods without relying on traditional outlets, reducing quality assurance costs. The system utilizes blockchain technology to securely store product details, enabling verification against genuine information to identify counterfeit items. The verification procedure is streamlined by a smart contract-driven method, which enables producers to register items with distinct digital identities. Customers may use QR codes to confirm the genuineness of products.

Keywords: Fraudulent goods, Quick Response (QR) code, Blockchain, smart contracts, decentralized. Cite: Dr.Umesh Akare, Prof. Girish Umaratkar, Parag Wadhai, Aayush Kharwade, Pranav Bante, Ayush Dandekar, "RECOGNITION OF FRAUDULENT PRODUCTS USING BLOCKCHAIN", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 4, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13407.

How to Cite:

[1] Dr.Umesh Akare, Prof. Girish Umaratkar, Parag Wadhai, Aayush Kharwade, Pranav Bante, Ayush Dandekar, “RECOGNITION OF FRAUDULENT PRODUCTS USING BLOCKCHAIN,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13407