Artiflcial Intelligence Technology and Applications

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

  • LI Shouwei ,
  • JIANG Yimin ,
  • ZHANG Jiazheng
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  • 1. School of Economics & Management, Southeast University, Nanjing 211189, Jiangsu, China;
    2. School of Cyber Science and Engineering, Southeast University, Nanjing 211189, Jiangsu, China;
    3. Research and Development Center for System and Information Engineering, Southeast University, Nanjing 211189, Jiangsu, China;
    4. Engineering Research Center of Blockchain Application, Supervision and Management, Ministry of Education, Southeast University, Nanjing 211189, Jiangsu, China

Received date: 2024-10-17

  Online published: 2026-06-23

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.

Cite this article

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 . DOI: 10.3969/j.issn.0255-8297.2026.03.009

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