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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM29584

FAKE PRODUCT DETECTION USING BLOCKCHAIN TECHNOLOGY

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM29584

Volume:

8 |

3 |

Mar 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MMPB

Mrs. Manjusha P. Bhosale

ETG

Eshwari Tukaram Gurule

APB

Asawari Pankaj Bachhav

ASB

Akanksha Sanjiv Bhavsar

YAR

Yachana Ashok Rajput

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Abstract

Counterfeit products have become a major concern in industries like electronics, pharmaceuticals, and consumer goods, creating a strong need for reliable and tamper-proof verification systems. This paper introduces a blockchain-based approach to address this problem by ensuring transparency, immutability, and secure tracking of product information across all stages of the supply chain. In the proposed system, each product is assigned a unique hash that is stored on the blockchain and later converted into a QR code. As the product moves from manufacturer to end consumer, every transaction is recorded, forming a trustworthy and auditable trail. Customers can simply scan the QR code to confirm whether a product is genuine. This method lowers the chances of fraud, builds trust, and improves overall transparency. The results show that blockchain significantly strengthens product traceability compared with traditional, centralized systems.

KEYWORDS

Blockchain Product Authentication QR Code Verification Anti-Counterfeiting Supply Chain Transparency Product Traceability.

Cite This Article

Mrs. Manjusha P. Bhosale, Eshwari Tukaram Gurule, Asawari Pankaj Bachhav, Akanksha Sanjiv Bhavsar, Yachana Ashok Rajput, "FAKE PRODUCT DETECTION USING BLOCKCHAIN TECHNOLOGY," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024.

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Publication Date

12/31/45989

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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