摘要
With the development of data assetization in enterprises, consortium blockchains have become the core infrastructure for data transactions within enterprise alliances. Constructing a decentralized, tamper-proof, and access-controlled data trading market using consortium blockchains can enhance the credibility of data transactions and reduce the risk of data leakage. However, with the increase in enterprise alliances, how to promote the circulation of data elements across different enterprise alliances and resist security threats such as data privacy leaks, data fraud, and payment repudiation have become an urgent problem in the field of data circulation. To address this, we propose a privacy-preserving data element transaction audit scheme for cross-consortium-blockchains. This scheme uses consortium blockchains for data attestation and employs smart contracts on a relay chain for data verification and payment management. By combining Pedersen commitments and Shamir’s secret sharing techniques, we construct a zero-knowledge proof mechanism to prevent data fraud without disclosing data elements. Additionally, a bilinear mapping-based data element integrity audit mechanism is introduced, allowing for the verification of data element receipts without revealing data privacy, effectively solving the problem of payment repudiation. Through theoretical analysis and experimental evaluation, the proposed scheme’s effectiveness and reliability are verified. The experimental results in a local simulation environment demonstrate that the proposed scheme is feasible and efficient.
| 投稿的翻译标题 | A Privacy-Preserving Data Element Trading Audit Scheme for Cross-Consortium-Blockchains |
|---|---|
| 源语言 | 繁体中文 |
| 页(从-至) | 2540-2553 |
| 页数 | 14 |
| 期刊 | Jisuanji Yanjiu yu Fazhan/Computer Research and Development |
| 卷 | 61 |
| 期 | 10 |
| DOI | |
| 出版状态 | 已出版 - 2024 |
关键词
- audit
- consortium blockchain
- cross-chain
- data elements
- zero-knowledge proof
指纹
探究 '面向跨联盟链的隐私保护数据要素交易审计方案' 的科研主题。它们共同构成独一无二的指纹。引用此
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver