多源异质数据资产分链交易体系设计

doi:10.3969/j.issn.0255-8297.2026.03.009

Abstract

Abstract: This paper proposed a split-chain trading system combining a consortium chain and a sidechain for multi-source heterogeneous data assets to address challenges in data asset trading. These challenges include fragmented enterprise and individual trading environments, high risks of privacy leakage, and insufficient system throughput. The transaction characteristics of multi-source heterogeneous data assets were analyzed, and a user-type-aware automatic split-chain routing mechanism was designed. The consortium chain ensures strong-consistency auditing for enterprise data, while the sidechain enables high-concurrency processing of personal data. Trusted computing technology was also introduced to construct a hardware-level privacy protection solution, allowing data to be used without being exposed or copied. The experimental results show that the split-chain architecture increases the peak system throughput to 2 400 TPS, representing an improvement of approximately 118% compared with traditional single-chain systems. Meanwhile, it maintains transaction latency below 2 s under high-concurrency conditions, with the added security overhead remaining at the millisecond level. This system effectively balances security and transaction efficiency while enabling integrated trading of heterogeneous data.It also integrates the trading of enterprise and personal data assets into a standardized transaction system while protecting data privacy, thus providing an engineering solution for data circulation in the digital economy.

Key words: multi-source heterogeneous data asset, blockchain, personal data asset, enterprise data asset, data trading

CLC Number:

TP316.4

LI Shouwei, JIANG Yimin, ZHANG Jiazheng. Split-Chain Trading System Design for Multi-source Heterogeneous Data Assets[J]. Journal of Applied Sciences, 2026, 44(3): 465-485.

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URL: https://www.jas.shu.edu.cn/EN/10.3969/j.issn.0255-8297.2026.03.009

https://www.jas.shu.edu.cn/EN/Y2026/V44/I3/465

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Split-Chain Trading System Design for Multi-source Heterogeneous Data Assets

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