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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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A BLOCKCHAIN-ENABLED FRAMEWORK FOR DETECTING AND PREVENTING COUNTERFEIT PRODUCTS

Authors: ADVANCED RESEARCH AND INNOVATIONS JOURNAL;

A BLOCKCHAIN-ENABLED FRAMEWORK FOR DETECTING AND PREVENTING COUNTERFEIT PRODUCTS

Abstract

Consumers and businesses alike are becoming increasingly concerned about the prevalence of counterfeit goods. The presence of counterfeit products on the market jeopardizes consumer safety as well as business finances and reputations. Because blockchain technology is secure and decentralized, users will be able to recognize and avoid counterfeit products more easily. This study looks into whether blockchain technology can be used to detect counterfeit items. This research looks at the core concepts underpinning blockchain technology and how they can be used to create a reliable and accessible system for product identification. We present a novel approach for certifying the validity of an object using blockchain technology and smart contracts. Businesses can utilize this notion to assign unique digital identities to physical objects and record them in a distributed ledger. Consumers can check the validity of a product by scanning a QR code. Furthermore, we assess the potential benefits of employing blockchain technology for product identification, such as enhanced transparency, lower fraud rates, and higher customer confidence. Finally, we look into the drawbacks of employing blockchain-based systems for product identification, such as interoperability and scalability issues. Our findings suggest that employing blockchain technology to identify and eliminate counterfeit products from the market could be a viable strategy. Consumers and businesses are protected from the negative consequences of counterfeit products due to the system's decentralized structure and high level of security. It also gives a simple and dependable framework for establishing the validity of an item or notion.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average