在云辅助电子医疗系统中实现对聚合加密医疗数据的授权细粒度数据检索

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Wei Tang;Xiaojun Zhang;Dawu Gu;Chao Huang;Jingting Xue;Xiangyu Liang
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引用次数: 0

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Enabling Authorized Fine-Grained Data Retrieval Over Aggregated Encrypted Medical Data in Cloud-Assisted E-Health Systems
Encrypted medical data outsourced to cloud servers can be used for personal health certification, health monitoring, and medical research. These data are essential to support the development of the medical industry. However, the traditional peer-to-peer data-sharing paradigm can lead to data abuse by malicious data analysis centers. Moreover, the encryption used to protect users’ outsourced privacy restricts the flexibility of data retrieval. Based on the modified double trapdoor cryptosystem, we propose an authorized data retrieval scheme over aggregated encrypted medical data (ADR-AED) in cloud-assisted e-healthcare systems. In ADR-AED, patients can access and decrypt personal data and authorize the data analysis center (DAC) to retrieve corresponding data. Specifically, we design an authorized retrieval-test mechanism for a group of patients to DAC. This allows DAC to extract valuable information from a threshold number of authorized users. Additionally, each patient can flexibly retrieve fine-grained medical data in different periods and submit them to a doctor for diagnostic analysis. The security analysis and performance evaluation demonstrate the feasibility of ADR-AED in the deployment of cloud-assisted e-healthcare systems.
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来源期刊
IEEE Transactions on Cloud Computing
IEEE Transactions on Cloud Computing Computer Science-Software
CiteScore
9.40
自引率
6.20%
发文量
167
期刊介绍: The IEEE Transactions on Cloud Computing (TCC) is dedicated to the multidisciplinary field of cloud computing. It is committed to the publication of articles that present innovative research ideas, application results, and case studies in cloud computing, focusing on key technical issues related to theory, algorithms, systems, applications, and performance.
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