Published: 2025-06-23 · Last modified: 2025-06-24
DOI: 10.1109/CSCWD64889.2025.11033363
Blockchain Access Control Data Security ABAC Cross-domain Data Sharing Smart Healthcare
Projects: 2021YFF1201102
As healthcare systems evolve and healthcare data grows, the need for cross-domain collaboration treatment has become more complex, necessitating fine-grained access control to enhance privacy and security. Blockchain provides a distributed trusted platform without third parties, but the current blockchain-based access control systems lack efficiency and sufficient privacy protection in cross-domain collaboration. To address these challenges, we propose SWIFTGUARD, an efficient and fine-grained access control system based on a master-slave chain to strengthen the security and privacy of cross-domain healthcare collaboration. SWIFTGUARD incorporates a zeroknowledge proof protocol for cross-domain authentication without exposing sensitive data and leverages quantitative attribute weights for efficient access control. Through game-based security proof, we demonstrate the zero knowledge and soundness of the system. Extensive experiments evaluate that SWIFTGUARD reduces the time complexity of access authorization from $O(n)$ to $O(\log n)$, with improved throughput and stable performance in cross-domain collaboration. Our comprehensive evaluation confirms that SWIFTGUARD provides a secure and efficient access control system for cross-domain healthcare collaboration.
@INPROCEEDINGS{ZhangCSCWD25,
author = {Mengke Zhang and
Xiaohong Li and
Jie Zhang and
Zhe Hou and
Guangdong Bai and
Ruitao Feng},
editor = {Weiming Shen and
Marie{-}H{\'{e}}l{\`{e}}ne Abel and
Nada Matta and
Jean{-}Paul A. Barth{\`{e}}s and
Junzhou Luo and
Jinghui Zhang and
Haibin Zhu and
Kunkun Peng},
title = {SwiftGuard: Enhanced Privacy and Efficiency in Blockchain-Based Fine-Grained
Access Control for Cross-Domain Healthcare Collaboration},
booktitle = {28th International Conference on Computer Supported Cooperative Work
in Design, {CSCWD} 2025, Compiegne, France, May 5-7, 2025},
pages = {1863--1868},
publisher = {{IEEE}},
year = {2025},
url = {https://doi.org/10.1109/CSCWD64889.2025.11033363},
doi = {10.1109/CSCWD64889.2025.11033363},
timestamp = {Thu, 05 Feb 2026 17:35:55 +0100},
biburl = {https://dblp.org/rec/conf/cscwd/ZhangLZHBF25.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}