Published: 2025-07-09 · Last modified: 2025-07-10
DOI: 10.1007/978-3-031-98208-8_17
Blockchain Ring Signature Data Security Cross-domain Data Sharing Traceability
Projects: 2021YFF1201102
Cross-domain data sharing involves exchanging or providing access to data between different systems or individuals, which is critical in domains such as healthcare, transportation, and data marketplaces. While blockchain technology addresses the single-point-of-failure issue inherent in cloud servers for cross-domain data sharing, existing blockchain-based methods face challenges such as complex permission management, high storage costs, and trust issues. To address these challenges, we propose a federated blockchain based cross-domain data sharing scheme that simplifies permission management by reducing the number of entities and specifying access rules, and decreases storage overhead through encrypted indexing. Our approach enhances trust by improving the ring signature algorithm to meet requirements for anonymity and accountability in sensitive data sharing. Specifically, the enhanced ring signature algorithm provides anonymous authentication and tamper-proof signatures while incorporating traceability features to balance privacy protection with security auditing. This scheme effectively resolves the challenges of privilege management, storage costs, trust crises, privacy protection, and security auditing in medical data sharing scenarios. Formal security proofs, performance analysis, and experimental results validate the scheme’s security, efficiency, and feasibility. Experimental data shows a reduction in signing time by at least 30% and a 14% decrease in verification time.
@InProceedings{MaoTASE25,
author = {Honglin Mao and
Jie Zhang and
Yao Zhang and
Xiaohong Li},
editor = {Philipp R{\"{u}}mmer and
Zhilin Wu},
title = {A Cross-Domain Data Sharing Scheme Based on Federated Blockchain},
booktitle = {Theoretical Aspects of Software Engineering - 19th International Symposium,
{TASE} 2025, Limassol, Cyprus, July 14-16, 2025, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {15841},
pages = {285--302},
publisher = {Springer},
year = {2025},
url = {https://doi.org/10.1007/978-3-031-98208-8\_17},
doi = {10.1007/978-3-031-98208-8\_17},
timestamp = {Thu, 18 Sep 2025 08:22:16 +0200},
biburl = {https://dblp.org/rec/conf/tase/MaoZZL25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}