A Multi‐Level Role‐Based Provable Data Possession Scheme for Medical Cloud Storage

ABSTRACT Medical institutions are increasingly leveraging cloud servers to store electronic health records (EHRs), highlighting the need for robust data security measures to protect the sensitive personal information they contain. Our study introduces a blockchain‐enabled, fine‐grained data integrity auditing scheme that not only safeguards the confidentiality and integrity of EHRs within cloud‐based healthcare environments but also demonstrates a significant enhancement in data security with our statistical results, reinforcing the trustworthiness of cloud storage for sensitive medical data. The proposed scheme is notable for its support of dynamic user revocation, implementing a multi‐tiered role hierarchy that facilitates the efficient access revocation. In this hierarchy, adding new users or updating existing ones involves merely altering the edge labels, thereby obviating the need for a comprehensive recalculation of cryptographic keys. We have developed a smart contract‐based access control mechanism to ensure privacy while enabling granular access control. This mechanism leverages password and role‐based authentication to empower multi‐tiered roles with the ability to perform data integrity audits by their designated permissions. Through security analysis, we have substantiated that our protocol withstands attacks aimed at subversion, counterfeiting, and tag inconsistency. Compared to existing works, our approach uniquely integrates multi‐level role hierarchies with blockchain‐based dynamic revocation, achieving higher granularity and adaptability.

Authors

Institutions

Publication Details

Journal
Concurrency and Computation Practice and Experience
Published
2025-05-14
DOI
https://doi.org/10.1002/cpe.70120
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multi‐Level Role‐Based Provable Data Possession Scheme for Medical Cloud Storage

Ruizhong Du, Ziyuan Wang, Wan Yuan
Concurrency and Computation Practice and Experience
Cryptography and Data Security
article

A Multi‐Level Role‐Based Provable Data Possession Scheme for Medical Cloud Storage

Ruizhong Du, Ziyuan Wang, Wan Yuan
article en

Abstract

ABSTRACT Medical institutions are increasingly leveraging cloud servers to store electronic health records (EHRs), highlighting the need for robust data security measures to protect the sensitive personal information they contain. Our study introduces a blockchain‐enabled, fine‐grained data integrity auditing scheme that not only safeguards the confidentiality and integrity of EHRs within cloud‐based healthcare environments but also demonstrates a significant enhancement in data security with our statistical results, reinforcing the trustworthiness of cloud storage for sensitive medical data. The proposed scheme is notable for its support of dynamic user revocation, implementing a multi‐tiered role hierarchy that facilitates the efficient access revocation. In this hierarchy, adding new users or updating existing ones involves merely altering the edge labels, thereby obviating the need for a comprehensive recalculation of cryptographic keys. We have developed a smart contract‐based access control mechanism to ensure privacy while enabling granular access control. This mechanism leverages password and role‐based authentication to empower multi‐tiered roles with the ability to perform data integrity audits by their designated permissions. Through security analysis, we have substantiated that our protocol withstands attacks aimed at subversion, counterfeiting, and tag inconsistency. Compared to existing works, our approach uniquely integrates multi‐level role hierarchies with blockchain‐based dynamic revocation, achieving higher granularity and adaptability.

Concurrency and Computation Practice and ExperienceVol. 37(12-14)
Hebei University (CN)
Natural Science Foundation of Hebei Province, Hebei Provincial Key Research Projects
Openalex Percentile: Top 95%
Cryptography and Data Security
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.

A Multi‐Level Role‐Based Provable Data Possession Scheme for Medical Cloud Storage — Ruizhong Du, Ziyuan Wang, et al. · Concurrency and Computation Practice and Experience (2025) | TGRS Research Map | TGRS