Research on ZKP Algorithm of Data Asset Security and Privacy Protection Based on Blockchain Technology

Pub Date : 2024-07-24 DOI:10.4018/ijec.349211
Fei Lan, Junjia Yang, Hao Feng, Wendi Xu, Wenxin Qiu, Zhang Zhao, Yanzuo Chen
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Abstract

Zero Knowledge Proof (ZKP) is a very effective method of preserving privacy as it hides the most confidential information throughout the transaction. In this paper, we present a security and privacy-preserving approach for blockchain that relies on account and multi-data asset models using the Zero Knowledge Proof (ZKP) mechanism. We provide options for transferring data assets and detecting duplicate expenditures, and we also develop transaction structures, anonymised addresses and anonymised metadata for the data assets. To create and validate the ZKP, we use the zk-SNARKs algorithm and specify validation criteria for masked transactions, and finally conduct experimental tests to validate it. Creating better algorithms for ZKP will be the focus of our future efforts.
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基于区块链技术的数据资产安全与隐私保护 ZKP 算法研究
零知识证明(ZKP)是一种非常有效的隐私保护方法,因为它在整个交易过程中隐藏了最机密的信息。在本文中,我们为区块链提出了一种安全和隐私保护方法,该方法依赖于使用零知识证明(ZKP)机制的账户和多数据资产模型。我们提供了转移数据资产和检测重复支出的选项,还为数据资产开发了交易结构、匿名地址和匿名元数据。为了创建和验证 ZKP,我们使用了 zk-SNARKs 算法,并指定了屏蔽交易的验证标准,最后还进行了实验测试以验证其有效性。为 ZKP 创建更好的算法将是我们未来工作的重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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