医疗保健工业 4.0 中基于云的医疗数据的无证书公共审计

Hui Tian, Weiping Ye, Jia Wang, Hanyu Quan, Chin-Chen Chang
{"title":"医疗保健工业 4.0 中基于云的医疗数据的无证书公共审计","authors":"Hui Tian, Weiping Ye, Jia Wang, Hanyu Quan, Chin-Chen Chang","doi":"10.1155/2023/3375823","DOIUrl":null,"url":null,"abstract":"In the context of healthcare 4.0, cloud-based eHealth is a common paradigm, enabling stakeholders to access medical data and interact efficiently. However, it still faces some serious security issues that cannot be ignored. One of the major challenges is the assurance of the integrity of medical data remotely stored in the cloud. To solve this problem, we propose a novel certificateless public auditing for medical data in the cloud (CPAMD), which can achieve efficient batch auditing without complicated certificate management and key escrow. Specifically, in our CPAMD, a new secure certificateless signature method is designed to generate tamper-proof data block tags; a manageable delegated data outsourcing mechanism is presented to reduce the burden of data maintenance on patients and achieve auditability of outsourcing behavior; and a privacy-preserving augmented verification strategy is proposed to provide comprehensive auditing of both medical data and its source information without compromising privacy. We perform formal security analysis and comprehensive performance evaluation for CPAMD. The results demonstrate that the presented scheme can provide better auditing security and more comprehensive auditing capabilities while achieving good performance comparable to state-of-the-art ones.","PeriodicalId":507857,"journal":{"name":"International Journal of Intelligent Systems","volume":"10 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Certificateless Public Auditing for Cloud-Based Medical Data in Healthcare Industry 4.0\",\"authors\":\"Hui Tian, Weiping Ye, Jia Wang, Hanyu Quan, Chin-Chen Chang\",\"doi\":\"10.1155/2023/3375823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the context of healthcare 4.0, cloud-based eHealth is a common paradigm, enabling stakeholders to access medical data and interact efficiently. However, it still faces some serious security issues that cannot be ignored. One of the major challenges is the assurance of the integrity of medical data remotely stored in the cloud. To solve this problem, we propose a novel certificateless public auditing for medical data in the cloud (CPAMD), which can achieve efficient batch auditing without complicated certificate management and key escrow. Specifically, in our CPAMD, a new secure certificateless signature method is designed to generate tamper-proof data block tags; a manageable delegated data outsourcing mechanism is presented to reduce the burden of data maintenance on patients and achieve auditability of outsourcing behavior; and a privacy-preserving augmented verification strategy is proposed to provide comprehensive auditing of both medical data and its source information without compromising privacy. We perform formal security analysis and comprehensive performance evaluation for CPAMD. The results demonstrate that the presented scheme can provide better auditing security and more comprehensive auditing capabilities while achieving good performance comparable to state-of-the-art ones.\",\"PeriodicalId\":507857,\"journal\":{\"name\":\"International Journal of Intelligent Systems\",\"volume\":\"10 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/2023/3375823\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2023/3375823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在医疗保健 4.0 的背景下,基于云的电子医疗是一种常见的模式,它使利益相关者能够高效地访问医疗数据并进行互动。然而,它仍然面临着一些不容忽视的严重安全问题。其中一个主要挑战是如何确保远程存储在云中的医疗数据的完整性。为解决这一问题,我们提出了一种新颖的云端医疗数据无证书公共审计(CPAMD),无需复杂的证书管理和密钥托管,即可实现高效的批量审计。具体来说,在我们的 CPAMD 中,设计了一种新的安全无证书签名方法来生成防篡改的数据块标签;提出了一种可管理的委托数据外包机制,以减轻患者的数据维护负担并实现外包行为的可审计性;还提出了一种保护隐私的增强验证策略,以在不损害隐私的情况下对医疗数据及其源信息进行全面审计。我们对 CPAMD 进行了正式的安全性分析和全面的性能评估。结果表明,所提出的方案可以提供更好的审计安全性和更全面的审计能力,同时实现与最先进方案相当的良好性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Certificateless Public Auditing for Cloud-Based Medical Data in Healthcare Industry 4.0
In the context of healthcare 4.0, cloud-based eHealth is a common paradigm, enabling stakeholders to access medical data and interact efficiently. However, it still faces some serious security issues that cannot be ignored. One of the major challenges is the assurance of the integrity of medical data remotely stored in the cloud. To solve this problem, we propose a novel certificateless public auditing for medical data in the cloud (CPAMD), which can achieve efficient batch auditing without complicated certificate management and key escrow. Specifically, in our CPAMD, a new secure certificateless signature method is designed to generate tamper-proof data block tags; a manageable delegated data outsourcing mechanism is presented to reduce the burden of data maintenance on patients and achieve auditability of outsourcing behavior; and a privacy-preserving augmented verification strategy is proposed to provide comprehensive auditing of both medical data and its source information without compromising privacy. We perform formal security analysis and comprehensive performance evaluation for CPAMD. The results demonstrate that the presented scheme can provide better auditing security and more comprehensive auditing capabilities while achieving good performance comparable to state-of-the-art ones.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A New Artificial Intelligence-Based Model for Amyotrophic Lateral Sclerosis Prediction Pulmonary Nodule Detection from 3D CT Image with a Two-Stage Network Real-Time Frequency Adaptive Tracking Control of the WPT System Based on Apparent Power Detection Beyond Words: An Intelligent Human-Machine Dialogue System with Multimodal Generation and Emotional Comprehension A New Pareto Discrete NSGAII Algorithm for Disassembly Line Balance Problem
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1