Cross-Domain Data Trading System Based on Decentralized Identity

Hao Jiakun; Xiang Peng; He Yifei; Gao Jianbo; Guan Zhi; Xie Anming; Chen Zhong

doi:10.7544/issn1000-1239.202440456

Journal of Computer Research and Development > 2024 > 61(10): 2570-2586. > DOI: 10.7544/issn1000-1239.202440456 CSTR: 32373.14.issn1000-1239.202440456

Hao Jiakun, Xiang Peng, He Yifei, Gao Jianbo, Guan Zhi, Xie Anming, Chen Zhong. Cross-Domain Data Trading System Based on Decentralized Identity[J]. Journal of Computer Research and Development, 2024, 61(10): 2570-2586. DOI: 10.7544/issn1000-1239.202440456

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Cross-Domain Data Trading System Based on Decentralized Identity

Hao Jiakun^1,,
Xiang Peng^1,,
He Yifei^1,,
Gao Jianbo^2,,
Guan Zhi^3,,
Xie Anming^1, ,,
Chen Zhong^{1, 4,}

1.
School of Computer Science, Peking University, Beijing 100871
2.
Beijing Key Laboratory of Security and Privacy in Intelligent Transportation (Beijing Jiaotong University), Beijing 100044
3.
National Engineering Research Center for Software Engineering, Peking University, Beijing 100871
4.
Peking University Chongqing Big Data Research Institute, Chongqing 401329

Funds: This work was supported by the National Key Research and Development Program of China (2023YFB2704800) and the National Natural Science Foundation of China (62202011, 62172010).

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Author Bio:
Hao Jiakun: born in 1998. PhD condidate. His main research interests include blockchain, distributed system, and cryptography

Xiang Peng: born in 1994. PhD condidate. His main research interests include blockchain and network security

He Yifei: born in 1998. PhD candidate. His main research interests include blockchain technology and cryptography

Gao Jianbo: born in 1994. PhD, associate professor. Member of CCF. His main research interests include blockchain, digital identity, and domain-specific software engineering

Guan Zhi: born in 1980. PhD, associate professor. Member of CCF. His main research interests include blockchain and cryptography

Xie Anming: born in 1977. PhD. His main research interests include big data security, blockchain security, and cryptography application

Chen Zhong: born in 1963. PhD, professor, PhD supervisor. Fellow of CCF. His main research interests include domain-specific software engineering, network and information security, and system software
Received Date: June 03, 2024
Revised Date: July 17, 2024
Available Online: September 13, 2024

Graphical Abstract

Abstract

Abstract

In the digital era, data, as a critical factor of production, is essential for economic growth, technological innovation, and enhancing corporate competitiveness. Traditional centralized data trading systems pose a series of data and transaction security risks. Although decentralized data trading systems based on blockchain technology have emerged, which can guarantee security for data transactions through blockchain and smart contracts, systems based on blockchain still struggle with cross-regional, cross-domain, and international data transactions. They primarily face the following three challenges: 1) Consistency of cross-domain identity resolution results. 2) Availability of cross-domain identity resolution services. 3) Security and compliance issues for cross-domain data trading systems. To address these issues, we design a secure and efficient cross-domain identity resolution mechanism based on decentralized identity technology and construct a secure, regulated decentralized data trading system based on this mechanism. The identity resolution mechanism includes a set of cross-domain protocols that ensure the consistency of resolution results and an incentive mechanism that ensures the availability of services executing these protocols. The decentralized data trading system supports granular regulation based on identity attributes and ensures the atomicity of cross-domain data transactions. Experimental verification shows that this system meets the design targets. By batch constructing cross-domain resolution requests, the identity cross-domain resolution protocol and caching mechanism can ensure the correctness of the resolution results, with the resolution latency being only 45% of the cross-domain resolution latency. Additionally, the cache can increase the hit rate by 72% through active and passive update mechanisms. The system is also compatible with multiple blockchain systems, and cross-domain data transactions can be completed within an average of 2.3 blocks, making the system efficiency within an acceptable range.
- data element,
- decentralized identity (DID),
- blockchain,
- smart contract,
- incentive mechanism

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References (51)

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