| viXra.org > Data Structures and Algorithms > viXra:2402.0011 |
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| viXra.org > Data Structures and Algorithms > viXra:2402.0011 |
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Data Structures and Algorithms |
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Authors: Yunpeng Qi
The aim of this thesis is to propose a reliability enhancement method for blockchain-based traceability system for large-value commodities, and to design the data structure as NFT (non-homogenized tokens), which highlights the uniqueness and uniqueness of the NFT in order to improve the trustworthiness and reliability of the system. Through a combination of user-submitted proposals, evaluation platforms, and proof monitoring centers, the system realizes the traceability and supervision of large-value commodities and ensures the uniqueness and anti-counterfeiting of each commodity using the NFT data structure. The system utilizes the decentralized nature of blockchain and the automated execution of smart contracts to improve the transparency, security, and credibility of traceability for large-value commodities.
Comments: 16 Pages.
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[v1] 2024-02-03 15:02:52
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