Product Validation through Blockchain

Abstract: The smuggling of counterfeit goods into the global supply chain remains a formidable challenge, not only undermining economic stability but also threatening the welfare of end users. From RFID tags to QR code systems, traditional systems have stumbled in providing robust protection against this growing threat. This study advocates the integration of blockchain technology as a revolutionary shield against fraudulent attacks on counterfeit products and begins a pioneering journey.The study highlights various applications of blockchain, extending traceability, decentralized anti-counterfeiting systems, and avant-garde cloud-based architecture ofthe supply chain of the products in circulation in the market. The proposed system fusing encrypted QR codes, state-of-the-art camera scanners, and relentless Ethereum blockchain Provides richness and superior efficiency.The counterfeiting of the products is not only the loss of capital of the manufacturer as well as the consumer but it is also the concern of their safety. In today's scenario, we encounter hundreds of counterfeit products in circulation thatare widely used by people all over the globe just because of their low cost and tempting offers.The proposed solution overcomes the limitations of its predecessors and complements the disruptive potential of blockchain technology. By carefully tracing the historical flow of goods in the supply chain, blockchain is incomparably stronger against counterfeit attacks Its decentralized architecture appears as a formidable watchdog, generating data prescribed is indestructible without stakeholder disagreement—an intrinsic property that strengthens the system against weaknesses.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-07
DOI
https://doi.org/10.22214/ijraset.2025.70270
Primary Topic
Statistical and Computational Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

Product Validation through Blockchain

Hemant Sharma, Ms Varsha, Aditi Pandey
International Journal for Research in Applied Science and Engineering Technology
Statistical and Computational Modeling
article

Product Validation through Blockchain

Hemant Sharma, Ms Varsha, Aditi Pandey
article en

Abstract

Abstract: The smuggling of counterfeit goods into the global supply chain remains a formidable challenge, not only undermining economic stability but also threatening the welfare of end users. From RFID tags to QR code systems, traditional systems have stumbled in providing robust protection against this growing threat. This study advocates the integration of blockchain technology as a revolutionary shield against fraudulent attacks on counterfeit products and begins a pioneering journey.The study highlights various applications of blockchain, extending traceability, decentralized anti-counterfeiting systems, and avant-garde cloud-based architecture ofthe supply chain of the products in circulation in the market. The proposed system fusing encrypted QR codes, state-of-the-art camera scanners, and relentless Ethereum blockchain Provides richness and superior efficiency.The counterfeiting of the products is not only the loss of capital of the manufacturer as well as the consumer but it is also the concern of their safety. In today's scenario, we encounter hundreds of counterfeit products in circulation thatare widely used by people all over the globe just because of their low cost and tempting offers.The proposed solution overcomes the limitations of its predecessors and complements the disruptive potential of blockchain technology. By carefully tracing the historical flow of goods in the supply chain, blockchain is incomparably stronger against counterfeit attacks Its decentralized architecture appears as a formidable watchdog, generating data prescribed is indestructible without stakeholder disagreement—an intrinsic property that strengthens the system against weaknesses.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 96%
Statistical and Computational Modeling
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