智能医疗中基于可撤销层次身份的内积函数加密

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yasi Zhu;Yanwei Zhou;Jing Wang;Bo Yang;Mingwu Zhang
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引用次数: 0

摘要

随着云计算的发展和医疗行业的数字化转型,智慧医疗的应用场景和效果不断拓展和完善。智慧医疗对于提高服务质量和医疗效率、降低医疗成本具有重要作用。然而,在数据的采集、存储和传输过程中,患者隐私被非法获取或泄露的风险日益突出。这些医疗数据包含患者的敏感信息,一旦泄露,将侵犯患者的隐私,造成医疗事故,严重损害患者的合法权益。高效可靠的隐私保护机制是建立和谐医患关系、提高医疗质量的基础和关键。传统的加密方式虽然可以提供一定的信息安全保护,但无法平衡数据保护和数据分析处理,不适合需要更精准医疗决策的智能医疗环境。因此,我们提出了一种基于层次身份的内部产品功能加密(IPFE)方案,该方案具有恶意用户撤销机制,旨在解决智能医疗中患者的隐私和安全问题。该解决方案允许对数据进行特定的访问和分析,同时确保患者的敏感信息不受侵犯,使医生能够更准确地诊断和治疗,并最大限度地优化医疗资源的分配。此外,我们对方案的安全性进行了正式论证,并进行了安全性分析和性能比较。结果表明,我们的解决方案在保证安全性的同时具有更好的性能,适合智能医疗高效、安全的数据处理需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revocable-Hierarchical-Identity-Based Inner Product Function Encryption in Smart Healthcare
With the development of cloud computing and the digital transformation of the medical industry, the application scenarios and effects of smart healthcare are constantly expanding and improving. Smart healthcare plays an important role in improving service quality and medical efficiency and reducing medical costs. However, in the process of data collection, storage, and transmission, the risk of patients’ privacy being illegally accessed or leaked has become increasingly prominent. These medical data contain sensitive information about patients, and once leaked, it will violate the privacy of patients, cause medical accidents, and seriously damage the legitimate rights and interests of patients. An efficient and reliable privacy protection mechanism is the foundation and key to establishing a harmonious doctor-patient relationship and improving medical quality. Although traditional encryption methods can provide certain information security protection, they cannot balance data protection and data analysis and processing and are not suitable for intelligent medical environments that require more precise medical decisions. Therefore, we propose a hierarchical-identity-based inner product functional encryption (IPFE) scheme with a malicious user revocation mechanism aimed at addressing the privacy and security issues of patients in smart healthcare. This solution allows specific access and analysis of data while ensuring that patients’ sensitive information is protected from infringement, enabling doctors to diagnose and treat more accurately and optimize the allocation of medical resources to the greatest extent possible. Furthermore, we have formally demonstrated the security of the scheme and conducted a security analysis and performance comparison. The results show that our solution has better performance while ensuring security and is suitable for the efficient and secure data processing requirements of smart healthcare.
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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