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
Jing Huang, Detao Tang, Chenyu Jiang, Fulong Chen, Ji Zhang, Dong Xie, Taochun Wang, Chuanxin Zhao, Chao Wang, Jintao Li
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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。

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

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.

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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
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