基于区块链与对抗生成网络的数据交易系统设计与实现方案

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中图分类号：TP18

文献标识码：A 文章编号：2096-4706（2025）09-0193-06

Abstract： With the rapid advancement of Artificial Intelligence and Big Data technologies， data has emerged as a crucial production factor. However， privacy safety and asset ownership problems in data sharing and trading are still challenges. This paper proposes a data trading framework based on Blockchain and Generative Adversarial Networks to address these issues. The framework utilizes Non-Fungible Tokens （NFTs） to establish data ownership and incorporates a smart contract-driven data auction mechanism to protect the interests of all parties. Furthermore， it employs a Differential Privacy Generative Adversarial Network （DP-CTGAN） to protect the data privacy. A prototype system developed using the FISCO BCOS platform validates the feasibility and effectiveness of the proposed scheme. Experimental results confirm that the system realizes secure and reliable data trading while safeguarding data privacy.

Keywords： Blockchain; data ownership; data trading; Generative Adversarial Network; Differential Privacy; NFT; smart contract

0 引 言

近年来，数据已成为人工智能、决策咨询等领域的重要生产要素，各地纷纷探索建设数据交易所以推动数据流通与交易 [1]。（剩余7107字）