Fine-grained access control with decentralized delegation for collaborative healthcare systems

Collaborative treatment has emerged as a crucial approach for improving the quality and efficiency of medical services in modern healthcare systems. To support this paradigm, secure access control over electronic health records (EHR) and flexible delegation of patient permissions are essential for enabling efficient, privacy-preserving data sharing. This paper proposes a fine-grained access control scheme with decentralized permission delegation tailored for medical collaboration scenarios. To ensure fine-grained access control, we adopt a hybrid encryption scheme that combines a dual-key regression tree with Identity-Based Encryption with Wildcard Key Derivation (WKD-IBE) for efficient and scalable key management. This integration enables access control based on data attributes rather than user identities and adheres to the principle of minimal data disclosure. To support decentralized permission delegation, we extend the WKD-IBE scheme to enable patients to authorize multiple doctors to grant access permissions collaboratively. This extension ensures controlled delegation by enforcing a predefined threshold of doctors and requiring consensus on the requested access scope. Additionally, we provide both theoretical and practical security analyses, along with an implementation to demonstrate the scheme’s real-world applicability. Experimental results demonstrate that our scheme achieves lower authorization latency and better scalability in collaborative healthcare scenarios while maintaining comparable encryption efficiency.

Institutions

Publication Details

Journal
Journal of Network and Computer Applications
Published
2025-07-18
DOI
https://doi.org/10.1016/j.jnca.2025.104273
Citations
1
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fine-grained access control with decentralized delegation for collaborative healthcare systems

1 citations
Journal of Network and Computer Applications
Cryptography and Data Security
2.48
article

Fine-grained access control with decentralized delegation for collaborative healthcare systems

article en
1 citations

Abstract

Collaborative treatment has emerged as a crucial approach for improving the quality and efficiency of medical services in modern healthcare systems. To support this paradigm, secure access control over electronic health records (EHR) and flexible delegation of patient permissions are essential for enabling efficient, privacy-preserving data sharing. This paper proposes a fine-grained access control scheme with decentralized permission delegation tailored for medical collaboration scenarios. To ensure fine-grained access control, we adopt a hybrid encryption scheme that combines a dual-key regression tree with Identity-Based Encryption with Wildcard Key Derivation (WKD-IBE) for efficient and scalable key management. This integration enables access control based on data attributes rather than user identities and adheres to the principle of minimal data disclosure. To support decentralized permission delegation, we extend the WKD-IBE scheme to enable patients to authorize multiple doctors to grant access permissions collaboratively. This extension ensures controlled delegation by enforcing a predefined threshold of doctors and requiring consensus on the requested access scope. Additionally, we provide both theoretical and practical security analyses, along with an implementation to demonstrate the scheme’s real-world applicability. Experimental results demonstrate that our scheme achieves lower authorization latency and better scalability in collaborative healthcare scenarios while maintaining comparable encryption efficiency.

Journal of Network and Computer ApplicationsVol. 242
Beijing Institute of Technology (CN), Jiangxi University of Technology (CN), University of International Relations (CN)
Partnerships for the goals
Openalex Percentile: Top 8%
Cryptography and Data Security
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fine-grained access control with decentralized delegation for collaborative healthcare systems · Journal of Network and Computer Applications (2025) | TGRS Research Map | TGRS