基于 CP-ABE 的部分策略隐藏式医疗数据访问控制方法

3区 计算机科学 Q1 Computer Science Journal of Ambient Intelligence and Humanized Computing Pub Date : 2024-09-11 DOI:10.1007/s12652-024-04843-6
Jing Huang, Detao Tang, Chenyu Jiang, Fulong Chen, Ji Zhang, Dong Xie, Taochun Wang, Chuanxin Zhao, Chao Wang, Jintao Li
{"title":"基于 CP-ABE 的部分策略隐藏式医疗数据访问控制方法","authors":"Jing Huang, Detao Tang, Chenyu Jiang, Fulong Chen, Ji Zhang, Dong Xie, Taochun Wang, Chuanxin Zhao, Chao Wang, Jintao Li","doi":"10.1007/s12652-024-04843-6","DOIUrl":null,"url":null,"abstract":"<p>The secure sharing and privacy protection of medical data are of great significance during the development of smart medical care. In order to achieve data sharing among medical institutions, ciphertext-policy attribute-based encryption (CP-ABE), a potential technology, allows users to encrypt data under access policies which are defined on certain attributes of the data consumer, and only allows the data consumer to decrypt those attributes conforming to the access policy. However, some existing CP-ABE schemes still have some shortcomings. For example, the efficiency of encryption and decryption is not high enough, and some cannot support more sufficient and expressive access structures. To solve the above problems, combined with blockchain, this paper presents a CP-ABE scheme with partial policy hiding based on prime order bilinear groups. Extensive experiment and analysis results reveal that the proposed scheme protects the privacy of users and realizes that attribute values are hidden in the access policy.</p>","PeriodicalId":14959,"journal":{"name":"Journal of Ambient Intelligence and Humanized Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Partial policy hidden medical data access control method based on CP-ABE\",\"authors\":\"Jing Huang, Detao Tang, Chenyu Jiang, Fulong Chen, Ji Zhang, Dong Xie, Taochun Wang, Chuanxin Zhao, Chao Wang, Jintao Li\",\"doi\":\"10.1007/s12652-024-04843-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The secure sharing and privacy protection of medical data are of great significance during the development of smart medical care. In order to achieve data sharing among medical institutions, ciphertext-policy attribute-based encryption (CP-ABE), a potential technology, allows users to encrypt data under access policies which are defined on certain attributes of the data consumer, and only allows the data consumer to decrypt those attributes conforming to the access policy. However, some existing CP-ABE schemes still have some shortcomings. For example, the efficiency of encryption and decryption is not high enough, and some cannot support more sufficient and expressive access structures. To solve the above problems, combined with blockchain, this paper presents a CP-ABE scheme with partial policy hiding based on prime order bilinear groups. Extensive experiment and analysis results reveal that the proposed scheme protects the privacy of users and realizes that attribute values are hidden in the access policy.</p>\",\"PeriodicalId\":14959,\"journal\":{\"name\":\"Journal of Ambient Intelligence and Humanized Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Ambient Intelligence and Humanized Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s12652-024-04843-6\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ambient Intelligence and Humanized Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s12652-024-04843-6","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0

摘要

医疗数据的安全共享和隐私保护在智慧医疗的发展过程中具有重要意义。为了实现医疗机构间的数据共享,基于属性的密文策略加密(CP-ABE)作为一种潜在的技术,允许用户在访问策略下对数据进行加密,这些访问策略是根据数据消费者的某些属性定义的,只允许数据消费者对符合访问策略的属性进行解密。然而,现有的一些 CP-ABE 方案仍存在一些缺陷。例如,加密和解密的效率不够高,有些方案无法支持更充分、更有表现力的访问结构。为了解决上述问题,本文结合区块链,提出了一种基于素阶双线性群的具有部分策略隐藏功能的 CP-ABE 方案。大量实验和分析结果表明,本文提出的方案既保护了用户隐私,又实现了属性值在访问策略中的隐藏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Partial policy hidden medical data access control method based on CP-ABE

The secure sharing and privacy protection of medical data are of great significance during the development of smart medical care. In order to achieve data sharing among medical institutions, ciphertext-policy attribute-based encryption (CP-ABE), a potential technology, allows users to encrypt data under access policies which are defined on certain attributes of the data consumer, and only allows the data consumer to decrypt those attributes conforming to the access policy. However, some existing CP-ABE schemes still have some shortcomings. For example, the efficiency of encryption and decryption is not high enough, and some cannot support more sufficient and expressive access structures. To solve the above problems, combined with blockchain, this paper presents a CP-ABE scheme with partial policy hiding based on prime order bilinear groups. Extensive experiment and analysis results reveal that the proposed scheme protects the privacy of users and realizes that attribute values are hidden in the access policy.

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
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.60
自引率
0.00%
发文量
854
期刊介绍: The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to): Pervasive/Ubiquitous Computing and Applications Cognitive wireless sensor network Embedded Systems and Software Mobile Computing and Wireless Communications Next Generation Multimedia Systems Security, Privacy and Trust Service and Semantic Computing Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks & services Healthcare Systems Virtual Humans & Virtual Worlds Wearables sensors and actuators
期刊最新文献
A multi-objective gene selection for cancer diagnosis using particle swarm optimization and mutual information Partial policy hidden medical data access control method based on CP-ABE Maximum dry density estimation of stabilized soil via machine learning techniques in individual and hybrid approaches Kernel density-based radio map optimization using human trajectory for indoor localization Neural network-based soil parameters predictive coordination algorithm for energy efficient wireless sensor network
×
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