INFORMATION SUPPORT OF DATA VERIFICATION PROCESSES BASED ON BLOCKCHAIN

Mariya Nazarkevych, O. Prokipchuk, V. Vysotska, R. Holoshchuk, R. Fedchuk

Abstract


Every year, the share of counterfeit goods on the market only increases, as does the damage it causes. Moreover, this is not only material damage, but also damage to the environment and people's health. In the worst cases, such recklessness can lead to the death of people. That is why large companies today are starting to invent various solutions to combat counterfeiting, including the implementation of information support for data authentication processes based on blockchain technology. a system that can reduce the threat of counterfeit goods in modern conditions is relevant. The purpose of creating this system is to provide buyers of goods with the opportunity to check their authenticity. Verification should be possible both before and after purchase with the ability to return the product in case of detection of counterfeit. The system should unite manufacturers into a single network, achieving avoidance of attachment to a specific manufacturer. In this way, each buyer can view any part of the required data. Under the condition of such data transparency, the developed system should provide reliable protection of this information. Also, the system should provide additional functionality different from the main one, which will allow to expand the scope of application and increase the benefits of using the system by users. Finally, the selected verification method should consist of a reusable part that can be used by anyone and a one-time part intended for a specific buyer. The object of the study: checking the authenticity of goods using blockchain technology. The subject of research: means of creating a unified decentralized blockchain system, which provides the possibility of checking the authenticity of goods for all manufacturers participating in this network.

Keywords: network communication, information system, counterfeit good, blockchain technology, product life cycle, intelligent information retrieval system, manufacturer environment.


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DOI: http://dx.doi.org/10.30970/eli.27.4

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