An on‐chain trading model of real world asset backed digital assets

IET Blockchain Pub Date : 2023-09-05 DOI:10.1049/blc2.12045
Dongsheng Hou, Wenjing Ma, Wei Zhang, Yixuan Li, Yu Du, Yukun Hao
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引用次数: 1

Abstract

Metaverse is a digital value interaction network based on blockchain technology, with an important economic system component. While both traditional financial industries and crypto‐native industries have made significant progress by leveraging blockchain, the value stream of each remains limited to separate ecosystems. To bridge this gap between off‐chain and on‐chain economic systems, an on‐chain trading model was proposed using HD key derivation technique for direct uploading onto chains without going through centralized services for IoT data transmission. To improve the current status of NFTs as static assets, a token protocol binding each NFT with a unique account address was proposed. Additionally, oracle technique was leveraged with a decentralized and distributed trust model spanning across on‐chain and off‐chain components which securely pushes data between smart contracts and Web‐APIs. A decentralized trading model was developed based on smart contracts implementing automated market makers according to CFMM algorithm. Parallel transaction computing was executed based on the DAG model to ensure high operational performance and security standards of underlying blockchain. Finally, the on‐chain trading system of real world asset backed digital assets was developed integrating all the above key techniques that correspond to crucial functions of a complete economic system in Metaverse.
一个真实世界资产支持数字资产的链上交易模型
元宇宙是基于区块链技术的数字价值交互网络,是经济系统的重要组成部分。虽然传统金融行业和加密原生行业都通过利用区块链取得了重大进展,但每个行业的价值流仍然局限于单独的生态系统。为了弥合链下和链上经济系统之间的差距,提出了一种链上交易模型,该模型使用HD密钥派生技术直接上传到链上,而无需通过物联网数据传输的集中服务。为了改善NFT作为静态资产的现状,提出了一种令牌协议,将每个NFT与唯一的帐户地址绑定。此外,oracle技术与跨链上和链下组件的分散和分布式信任模型相结合,可以安全地在智能合约和Web api之间推送数据。基于基于CFMM算法实现自动做市商的智能合约,开发了去中心化交易模型。基于DAG模型进行并行事务计算,保证了底层区块链的高运行性能和安全标准。最后,开发了真实世界资产支持数字资产的链上交易系统,集成了上述所有关键技术,这些技术对应于虚拟世界中完整经济系统的关键功能。
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CiteScore
1.80
自引率
0.00%
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