A Privacy-Preserving Data Element Trading Audit Scheme for Cross-Consortium-Blockchains

Zhang Chuan; Wang Zihao; Liang Jinwen; Liu Mengxuan; Deng Haotian; Zhu Liehuang

doi:10.7544/issn1000-1239.202440472

Journal of Computer Research and Development > 2024 > 61(10): 2540-2553. > DOI: 10.7544/issn1000-1239.202440472 CSTR: 32373.14.issn1000-1239.202440472

Zhang Chuan, Wang Zihao, Liang Jinwen, Liu Mengxuan, Deng Haotian, Zhu Liehuang. A Privacy-Preserving Data Element Trading Audit Scheme for Cross-Consortium-Blockchains[J]. Journal of Computer Research and Development, 2024, 61(10): 2540-2553. DOI: 10.7544/issn1000-1239.202440472

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A Privacy-Preserving Data Element Trading Audit Scheme for Cross-Consortium-Blockchains

1.
School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing 100081
2.
Department of Computing, The Hong Kong Polytechnic University, Hong Kong 999077

Funds: This work was supported by the National Natural Science Foundation of China (62232002), the Beijing Institute of Technology Research Fund Program for Young Scholars, and the Young Elite Scientists Sponsorship Program by CAST (2023QNRC001).

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Author Bio:
Zhang Chuan: born in 1991. PhD, assistant professor. Member of IEEE. His main research interests include cloud computing, applied cryptography, machine learning, and blockchain

Wang Zihao: born in 2001. Bachelor. His main research interest includes blockchain

Liang Jinwen: born in 1992. PhD, postdoc. Member of IEEE. His main research interests include applied cryptography, AI security, blockchain, and database security

Liu Mengxuan: born in 1993. Master. His main research interests include blockchain and distributed systems

Deng Haotian: born in 1994. Master. Student member of IEEE. His main research interests include blockchain, IoT security, and applied cryptography

Zhu Liehuang: born in 1976. PhD, professor. Senior member of IEEE. His main research interests include security protocol analysis and design, group key exchange protocols, wireless sensor networks, and cloud computing
Received Date: May 30, 2024
Revised Date: July 17, 2024
Available Online: September 13, 2024

Graphical Abstract

Abstract

Abstract

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.
- data elements,
- consortium blockchain,
- cross-chain,
- audit,
- zero-knowledge proof

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References (30)

References

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