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首页> 外文期刊>Journal of medical systems >m(2)-ABKS: Attribute-Based Multi-Keyword Search over Encrypted Personal Health Records in Multi-Owner Setting
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m(2)-ABKS: Attribute-Based Multi-Keyword Search over Encrypted Personal Health Records in Multi-Owner Setting

机译:m(2)-ABKS:在多所有者设置中对加密的个人健康记录进行基于属性的多关键字搜索

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摘要

Online personal health record (PHR) is more inclined to shift data storage and search operations to cloud server so as to enjoy the elastic resources and lessen computational burden in cloud storage. As multiple patients' data is always stored in the cloud server simultaneously, it is a challenge to guarantee the confidentiality of PHR data and allow data users to search encrypted data in an efficient and privacy-preserving way. To this end, we design a secure cryptographic primitive called as attributebased multi-keyword search over encrypted personal health records in multi-owner setting to support both fine-grained access control and multi-keyword search via CiphertextPolicy Attribute-Based Encryption. Formal security analysis proves our scheme is selectively secure against chosenkeyword attack. As a further contribution, we conduct empirical experiments over real-world dataset to show its feasibility and practicality in a broad range of actual scenarios without incurring additional computational burden.
机译:在线个人健康记录(PHR)更倾向于将数据存储和搜索操作转移到云服务器,以享受弹性资源并减轻云存储中的计算负担。由于多个患者的数据始终同时存储在云服务器中,因此要保证PHR数据的机密性并允许数据用户以有效且隐私保护的方式搜索加密数据是一项挑战。为此,我们设计了一种安全的加密原语,称为多属性设置中的加密个人健康记录上的基于属性的多关键字搜索,以支持基于CiphertextPolicy基于属性的加密的细粒度访问控制和多关键字搜索。正式的安全性分析证明我们的方案针对选择的关键字攻击具有选择性的安全性。作为进一步的贡献,我们在现实世界的数据集上进行了经验实验,以显示其在各种实际场景中的可行性和实用性,而不会产生额外的计算负担。

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