• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用混合哈希区块链框架增强电子健康记录系统中的保密性和访问控制。

Enhancing confidentiality and access control in electronic health record systems using a hybrid hashing blockchain framework.

作者信息

Chakravarthy D Gowtham, Gopi R, Murugan Sivaram, Joseph Emerson Raja

机构信息

Faculty of Computer Science & Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, 641202, India.

Faculty of Computer Science & Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, 621212, India.

出版信息

Sci Rep. 2025 Aug 19;15(1):30379. doi: 10.1038/s41598-025-13831-5.

DOI:10.1038/s41598-025-13831-5
PMID:40830150
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12365062/
Abstract

Confidentiality and access control are essential to protect sensitive data, prevent cyber threats, ensure compliance, and avoid risks like identity theft. Hence, a framework towards secure patient Data access using Hybrid Integrated Hashing Method is introduced to ensure patient confidentiality and efficient data access in healthcare systems. Unlike conventional solutions that rely solely on standard blockchain and secure hash algorithm 256 for data protection, this proposed method integrates a multi-layer hybrid hashing approach combining dynamic hash chaining with temporal entropy encoding, making hash collisions virtually infeasible. A selective data compression mechanism is also embedded to maintain performance while preserving cryptographic strength. Additionally, the system employs role-based decentralized access control, enforced through smart contracts, enabling real-time permission verification and immutable audit trails. A simulated blockchain environment evaluates the proposed method's resilience against ransomware, hash collision, and data manipulation attacks. By employing a standard secure hash algorithm 256 hashing without compression or access-layer optimization, experimental findings show 27% reduced storage usage and 35% quicker data retrieval than typical blockchain-based electronic health record systems. The system shows robust resistance to illegal access compared to traditional role-based access control systems.

摘要

保密性和访问控制对于保护敏感数据、防范网络威胁、确保合规性以及避免身份盗窃等风险至关重要。因此,引入了一种使用混合集成哈希方法实现安全患者数据访问的框架,以确保医疗系统中患者的保密性和高效的数据访问。与仅依靠标准区块链和安全哈希算法256进行数据保护的传统解决方案不同,该提议的方法集成了一种多层混合哈希方法,将动态哈希链与时间熵编码相结合,使得哈希冲突几乎不可行。还嵌入了一种选择性数据压缩机制,以在保持加密强度的同时维持性能。此外,该系统采用基于角色的分散式访问控制,通过智能合约强制执行,实现实时权限验证和不可变的审计跟踪。一个模拟的区块链环境评估了该提议方法对勒索软件、哈希冲突和数据操纵攻击的抵御能力。通过采用无压缩或访问层优化的标准安全哈希算法256进行哈希处理,实验结果表明,与典型的基于区块链的电子健康记录系统相比,存储使用量减少了27%,数据检索速度快了35%。与传统的基于角色的访问控制系统相比,该系统对非法访问具有强大的抵抗力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/a81ba48d8337/41598_2025_13831_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/1d3d3ab6970c/41598_2025_13831_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/76e51939aced/41598_2025_13831_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/07ef59c49ad4/41598_2025_13831_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/48a79f347d55/41598_2025_13831_Figa_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/6e9a1ff6c932/41598_2025_13831_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/c30f2f0b225c/41598_2025_13831_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/f1b7cbb9cdc5/41598_2025_13831_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/e64855d31757/41598_2025_13831_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/d978d92032de/41598_2025_13831_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/96598de8f331/41598_2025_13831_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/a81ba48d8337/41598_2025_13831_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/1d3d3ab6970c/41598_2025_13831_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/76e51939aced/41598_2025_13831_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/07ef59c49ad4/41598_2025_13831_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/48a79f347d55/41598_2025_13831_Figa_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/6e9a1ff6c932/41598_2025_13831_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/c30f2f0b225c/41598_2025_13831_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/f1b7cbb9cdc5/41598_2025_13831_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/e64855d31757/41598_2025_13831_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/d978d92032de/41598_2025_13831_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/96598de8f331/41598_2025_13831_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/12365062/a81ba48d8337/41598_2025_13831_Fig10_HTML.jpg

相似文献

1
Enhancing confidentiality and access control in electronic health record systems using a hybrid hashing blockchain framework.使用混合哈希区块链框架增强电子健康记录系统中的保密性和访问控制。
Sci Rep. 2025 Aug 19;15(1):30379. doi: 10.1038/s41598-025-13831-5.
2
Enhancing anomaly detection and prevention in Internet of Things (IoT) using deep neural networks and blockchain based cyber security.利用基于深度神经网络和区块链的网络安全增强物联网(IoT)中的异常检测与预防。
Sci Rep. 2025 Jul 1;15(1):22369. doi: 10.1038/s41598-025-04164-4.
3
Designing A Blockchain-Empowered Telehealth Artifact for Decentralized Identity Management and Trustworthy Communication: Interdisciplinary Approach.设计一个基于区块链的远程医疗工具,用于去中心化身份管理和可信通信:跨学科方法。
J Med Internet Res. 2024 Sep 25;26:e46556. doi: 10.2196/46556.
4
A Novel Blockchain-Based Model for Secure Genomic Data Management.一种基于区块链的安全基因组数据管理新模型。
Stud Health Technol Inform. 2025 Jun 26;328:302-307. doi: 10.3233/SHTI250724.
5
A novel dilated weighted recurrent neural network (RNN)-based smart contract for secure sharing of big data in Ethereum blockchain using hybrid encryption schemes.一种基于新型扩张加权递归神经网络(RNN)的智能合约,用于使用混合加密方案在以太坊区块链中安全共享大数据。
PeerJ Comput Sci. 2025 Jun 17;11:e2930. doi: 10.7717/peerj-cs.2930. eCollection 2025.
6
Quantum secured blockchain framework for enhancing post quantum data security.用于增强后量子数据安全性的量子安全区块链框架。
Sci Rep. 2025 Aug 23;15(1):31048. doi: 10.1038/s41598-025-16315-8.
7
An explainable federated blockchain framework with privacy-preserving AI optimization for securing healthcare data.一种具有隐私保护人工智能优化功能的可解释联邦区块链框架,用于保护医疗保健数据安全。
Sci Rep. 2025 Jul 1;15(1):21799. doi: 10.1038/s41598-025-04083-4.
8
A blockchain secured metaverse framework for scalable and immersive telemedicine.一种用于可扩展且沉浸式远程医疗的区块链安全元宇宙框架。
Sci Rep. 2025 Jul 22;15(1):26655. doi: 10.1038/s41598-025-12068-6.
9
Prescription of Controlled Substances: Benefits and Risks管制药品的处方:益处与风险
10
Smart traceable framework for transportation of transplantable organs using IPFS, iot, and smart contracts.使用星际文件系统(IPFS)、物联网(IoT)和智能合约的可移植器官运输智能可追溯框架。
Sci Rep. 2025 Jul 2;15(1):23364. doi: 10.1038/s41598-025-06471-2.

本文引用的文献

1
Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning.区块链赋能的医疗保健系统:通过混合深度学习提高可扩展性和安全性。
Sensors (Basel). 2023 Sep 7;23(18):7740. doi: 10.3390/s23187740.
2
AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research Directions.用于公共卫生的人工智能驱动的区块链技术:当代综述、公开挑战及未来研究方向
Healthcare (Basel). 2022 Dec 27;11(1):81. doi: 10.3390/healthcare11010081.
3
A Novel Decentralized Blockchain Architecture for the Preservation of Privacy and Data Security against Cyberattacks in Healthcare.
一种用于保护医疗保健中隐私和数据安全免受网络攻击的新型去中心化区块链架构。
Sensors (Basel). 2022 Aug 8;22(15):5921. doi: 10.3390/s22155921.
4
Privacy Preservation in Patient Information Exchange Systems Based on Blockchain: System Design Study.基于区块链的患者信息交换系统中的隐私保护:系统设计研究。
J Med Internet Res. 2022 Mar 22;24(3):e29108. doi: 10.2196/29108.
5
Blockchain-Based Distributed Information Hiding Framework for Data Privacy Preserving in Medical Supply Chain Systems.基于区块链的医疗供应链系统数据隐私保护分布式信息隐藏框架。
Sensors (Basel). 2022 Feb 10;22(4):1371. doi: 10.3390/s22041371.
6
An Efficient CNN-Based Deep Learning Model to Detect Malware Attacks (CNN-DMA) in 5G-IoT Healthcare Applications.基于高效 CNN 的深度学习模型,用于检测 5G-IoT 医疗保健应用中的恶意软件攻击 (CNN-DMA)。
Sensors (Basel). 2021 Sep 23;21(19):6346. doi: 10.3390/s21196346.
7
Application of Blockchain to Maintaining Patient Records in Electronic Health Record for Enhanced Privacy, Scalability, and Availability.区块链在电子健康记录中维护患者记录以增强隐私性、可扩展性和可用性的应用。
Healthc Inform Res. 2020 Jan;26(1):3-12. doi: 10.4258/hir.2020.26.1.3. Epub 2020 Jan 31.
8
A Blockchain Framework for Patient-Centered Health Records and Exchange (HealthChain): Evaluation and Proof-of-Concept Study.一种用于以患者为中心的健康记录与交换的区块链框架(HealthChain):评估与概念验证研究
J Med Internet Res. 2019 Aug 31;21(8):e13592. doi: 10.2196/13592.