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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
 
   
      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. IDENTIFYING FAKE PRODUCTS USING HYPERLEDGER FABRIC BLOCKCHAIN
    Dr. Syed Naimatullah Hussain1 , Ms.Shruti Jalapur2 and Mr. Anil Pawar3
    Journal of Data Acquisition and Processing, 2023, 38 (1): 675-692. 

    Abstract

    However, nothing has been done to effectively apply vehicle-identifying technologies, such as bar codes, near-field communication (NFC), or transmitter identification, to these issues. Product fraud and forgeries are ongoing issues in both vending and manacles environments. This investigation identifies counterfeit items using a bar code that a Block Chain Based Management (BCBM) device uses to identify an object. As a result, the recommended device can be used to store database blocks for the product's unique code and information about it. It is possible to retrieve the buyer's precise code, which is checked against data in the blockchain database. The products are probably checked at each step of the distribution chain to achieve this. Before adding a new product to the database, the administrator generates a unique QR code for it using the SHA256 QR Code technology set of rules.

    Keyword

    QR code, Counterfeit, Blockchain, Supply Chain, Transmitter Identification


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ISSN 1004-9037

         

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