• 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

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。

A Novel Decentralized Blockchain Architecture for the Preservation of Privacy and Data Security against Cyberattacks in Healthcare.

机构信息

Department of Computer Engineering and Applications, GLA University, Mathura 281406, India.

Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences (UCAS), Shenzhen 518055, China.

出版信息

Sensors (Basel). 2022 Aug 8;22(15):5921. doi: 10.3390/s22155921.

DOI:10.3390/s22155921
PMID:35957478
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9371396/
Abstract

Nowadays, in a world full of uncertainties and the threat of digital and cyber-attacks, blockchain technology is one of the major critical developments playing a vital role in the creative professional world. Along with energy, finance, governance, etc., the healthcare sector is one of the most prominent areas where blockchain technology is being used. We all are aware that data constitute our wealth and our currency; vulnerability and security become even more significant and a vital point of concern for healthcare. Recent cyberattacks have raised the questions of planning, requirement, and implementation to develop more cyber-secure models. This paper is based on a blockchain that classifies network participants into clusters and preserves a single copy of the blockchain for every cluster. The paper introduces a novel blockchain mechanism for secure healthcare sector data management, which reduces the communicational and computational overhead costs compared to the existing bitcoin network and the lightweight blockchain architecture. The paper also discusses how the proposed design can be utilized to address the recognized threats. The experimental results show that, as the number of nodes rises, the suggested architecture speeds up ledger updates by 63% and reduces network traffic by 10 times.

摘要

如今,在充满不确定性和数字及网络攻击威胁的世界中,区块链技术是一项重大关键发展,在创意专业领域发挥着至关重要的作用。与能源、金融、治理等领域一样,医疗保健领域是区块链技术应用的最突出领域之一。我们都知道数据构成了我们的财富和货币;脆弱性和安全性变得更加重要,成为医疗保健领域关注的重点。最近的网络攻击引发了关于规划、需求和实施的问题,以开发更安全的网络模型。本文基于区块链,将网络参与者分类为集群,并为每个集群保留区块链的单个副本。本文介绍了一种用于安全医疗保健数据管理的新型区块链机制,与现有的比特币网络和轻量级区块链架构相比,该机制降低了通信和计算开销。本文还讨论了如何利用所提出的设计来应对公认的威胁。实验结果表明,随着节点数量的增加,所提出的架构将分类帐更新速度提高了 63%,并将网络流量减少了 10 倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/47d5d046e284/sensors-22-05921-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/654ff70cdc61/sensors-22-05921-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/07f61c49c5cb/sensors-22-05921-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/6a1f50187cef/sensors-22-05921-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/c31eff6de869/sensors-22-05921-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/70847066890f/sensors-22-05921-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/4983c8953cb2/sensors-22-05921-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/a43d0a02ba62/sensors-22-05921-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/3965e1c7e31b/sensors-22-05921-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/3df2ed41b399/sensors-22-05921-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/6a1ae50ca40b/sensors-22-05921-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/273d09530dbb/sensors-22-05921-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/47d5d046e284/sensors-22-05921-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/654ff70cdc61/sensors-22-05921-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/07f61c49c5cb/sensors-22-05921-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/6a1f50187cef/sensors-22-05921-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/c31eff6de869/sensors-22-05921-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/70847066890f/sensors-22-05921-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/4983c8953cb2/sensors-22-05921-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/a43d0a02ba62/sensors-22-05921-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/3965e1c7e31b/sensors-22-05921-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/3df2ed41b399/sensors-22-05921-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/6a1ae50ca40b/sensors-22-05921-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/273d09530dbb/sensors-22-05921-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a41d/9371396/47d5d046e284/sensors-22-05921-g012.jpg

相似文献

1
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.
2
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.
3
Blockchain Integration With Digital Technology and the Future of Health Care Ecosystems: Systematic Review.区块链与数字技术融合与医疗保健生态系统的未来:系统评价。
J Med Internet Res. 2021 Nov 2;23(11):e19846. doi: 10.2196/19846.
4
Prescription of Controlled Substances: Benefits and Risks管制药品的处方:益处与风险
5
Influence of Human Factors on Cyber Security within Healthcare Organisations: A Systematic Review.人为因素对医疗机构网络安全的影响:系统综述。
Sensors (Basel). 2021 Jul 28;21(15):5119. doi: 10.3390/s21155119.
6
Enhancing privacy in IoT-based healthcare using provable partitioned secure blockchain principle and encryption.利用可证明的分区安全区块链原理和加密技术增强基于物联网的医疗保健中的隐私性。
Sci Rep. 2025 Aug 13;15(1):29682. doi: 10.1038/s41598-025-14930-z.
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
Blockchain-enhanced electoral integrity: a robust model for secure digital voting systems in Oman.区块链增强选举诚信:阿曼安全数字投票系统的稳健模型。
F1000Res. 2025 Apr 28;14:223. doi: 10.12688/f1000research.160087.2. eCollection 2025.
9
Blockchain framework with IoT device using federated learning for sustainable healthcare systems.用于可持续医疗系统的、结合物联网设备并采用联邦学习的区块链框架。
Sci Rep. 2025 Jul 23;15(1):26736. doi: 10.1038/s41598-025-06539-z.
10
A Review of Attacks, Vulnerabilities, and Defenses in Industry 4.0 with New Challenges on Data Sovereignty Ahead.工业 4.0 中的攻击、漏洞和防御综述,以及即将面临的数据主权新挑战。
Sensors (Basel). 2021 Jul 30;21(15):5189. doi: 10.3390/s21155189.

引用本文的文献

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
Correction: Kumar et al. A Novel Decentralized Blockchain Architecture for the Preservation of Privacy and Data Security Against Cyberattacks in Healthcare. 2022, , 5921.更正:库马尔等人。一种用于在医疗保健领域保护隐私和数据安全以抵御网络攻击的新型去中心化区块链架构。2022年,,5921。
Sensors (Basel). 2025 Jul 25;25(15):4597. doi: 10.3390/s25154597.
3
Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection.

本文引用的文献

1
An Optimization on the Neuronal Networks Based on the ADEX Biological Model in Terms of LUT-State Behaviors: Digital Design and Realization on FPGA Platforms.基于ADEX生物模型的神经元网络在查找表状态行为方面的优化:FPGA平台上的数字设计与实现
Biology (Basel). 2022 Jul 27;11(8):1125. doi: 10.3390/biology11081125.
2
A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection.一种用于转移性癌症检测的新型混合深度学习模型。
Comput Intell Neurosci. 2022 Jun 24;2022:8141530. doi: 10.1155/2022/8141530. eCollection 2022.
3
EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review.
在特征选择中使用简单统计技术的基于机器学习的强大入侵检测系统。
Sci Rep. 2025 Feb 1;15(1):3970. doi: 10.1038/s41598-025-88286-9.
4
Application of privacy protection technology to healthcare big data.隐私保护技术在医疗大数据中的应用。
Digit Health. 2024 Nov 4;10:20552076241282242. doi: 10.1177/20552076241282242. eCollection 2024 Jan-Dec.
5
Performance enhancement in blockchain based IoT data sharing using lightweight consensus algorithm.使用轻量级共识算法提升基于区块链的物联网数据共享性能
Sci Rep. 2024 Nov 4;14(1):26561. doi: 10.1038/s41598-024-77706-x.
6
RBEF: Ransomware Efficient Public Blockchain Framework for Digital Healthcare Application.RBEF:面向数字医疗应用的高效勒索软件公共区块链框架。
Sensors (Basel). 2023 Jun 1;23(11):5256. doi: 10.3390/s23115256.
7
A Recommender System for Robust Smart Contract Template Classification.用于稳健智能合约模板分类的推荐系统。
Sensors (Basel). 2023 Jan 5;23(2):639. doi: 10.3390/s23020639.
8
Development and Validation of Embedded Device for Electrocardiogram Arrhythmia Empowered with Transfer Learning.基于迁移学习的心电图心律失常嵌入式设备的开发与验证。
Comput Intell Neurosci. 2022 Oct 7;2022:5054641. doi: 10.1155/2022/5054641. eCollection 2022.
9
Understanding the User-Generated Geographic Information by Utilizing Big Data Analytics for Health Care.利用大数据分析理解用户生成的地理信息在医疗保健中的应用。
Comput Intell Neurosci. 2022 Oct 6;2022:2532580. doi: 10.1155/2022/2532580. eCollection 2022.
10
Botnet Attack Detection in IoT Using Machine Learning.基于机器学习的物联网僵尸网络攻击检测
Comput Intell Neurosci. 2022 Oct 4;2022:4515642. doi: 10.1155/2022/4515642. eCollection 2022.
基于脑电图的癫痫发作检测的机器学习/深度学习方法:系统综述。
Comput Intell Neurosci. 2022 Jun 17;2022:6486570. doi: 10.1155/2022/6486570. eCollection 2022.
4
A Hybrid Intelligent Framework to Combat Sophisticated Threats in Secure Industries.一种用于打击安全行业复杂威胁的混合智能框架。
Sensors (Basel). 2022 Feb 17;22(4):1582. doi: 10.3390/s22041582.
5
A Hybrid Deep Learning-Driven SDN Enabled Mechanism for Secure Communication in Internet of Things (IoT).基于深度学习和 SDN 的物联网安全通信混合机制。
Sensors (Basel). 2021 Jul 18;21(14):4884. doi: 10.3390/s21144884.
6
A Systematic Review for Enabling of Develop a Blockchain Technology in Healthcare Application: Taxonomy, Substantially Analysis, Motivations, Challenges, Recommendations and Future Direction.区块链技术在医疗保健应用中的启用:分类法、实质性分析、动机、挑战、建议和未来方向的系统评价。
J Med Syst. 2019 Sep 14;43(10):320. doi: 10.1007/s10916-019-1445-8.
7
FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data.FHIRChain:应用区块链安全且可扩展地共享临床数据。
Comput Struct Biotechnol J. 2018 Jul 29;16:267-278. doi: 10.1016/j.csbj.2018.07.004. eCollection 2018.
8
MedBlock: Efficient and Secure Medical Data Sharing Via Blockchain.MedBlock:基于区块链的高效、安全医疗数据共享
J Med Syst. 2018 Jun 21;42(8):136. doi: 10.1007/s10916-018-0993-7.
9
Healthcare Blockchain System Using Smart Contracts for Secure Automated Remote Patient Monitoring.使用智能合约的医疗保健区块链系统,用于安全的自动化远程患者监测。
J Med Syst. 2018 Jun 6;42(7):130. doi: 10.1007/s10916-018-0982-x.
10
Tamper-Resistant Mobile Health Using Blockchain Technology.使用区块链技术的防篡改移动健康应用
JMIR Mhealth Uhealth. 2017 Jul 26;5(7):e111. doi: 10.2196/mhealth.7938.