A searchable and privacy-preserving data-sharing cloud-assisted electronic medical system
A data sharing and electronic medical technology, applied in the direction of patient-specific data, digital data protection, electronic digital data processing, etc., to achieve the effect of ensuring integrity and correctness, improving efficiency, excellent feasibility and efficiency
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Embodiment 1
[0056] This embodiment describes in detail the implementation of a searchable and privacy-protected data sharing cloud-assisted electronic medical system for data search, data privacy protection, and data sharing.
[0057] A general model of a searchable and privacy-preserving data sharing cloud-assisted electronic medical system as figure 1 shown.
[0058] The trust agency generates an encryption key and distributes the encryption key to the IoT gateway, cloud server A, cloud server B, and data users. When the data of various physical indicators of the data owner are collected by wearable devices to form PHI files, each PHI file has an identifier, marked as ID(f), and then the data owner sends the PHI file to the IoT gateway . The IoT gateway proposes the keyword w from the PHI file. Then, the Internet of Things gateway performs symmetric encryption on the PHI file to generate an encrypted PHI file, performs homomorphic encryption and symmetric encryption on keywords to ge...
Embodiment 2
[0065] This example describes in detail our experiments on an electronic healthcare system of the present invention. We mainly tested the e-Healthcare system in three scenarios. First of all, for the experiment conducted under the scenario of different numbers of storage files in cloud server A, we conducted a simulation experiment of keyword range search in this scenario, and the experimental results are as follows: image 3 , mainly experimented with ranges of 10, 20, and 30, because PHI files are randomly generated, so as the number of stored files increases, the number of returned files will also increase, and the required time will become longer. When the number of returned files is more than 6000 and the query keyword range is 30, the required time will not exceed 7s. This experiment shows that the time required for file return may be related to the number of returned files and the number of stored files. Secondly, we conduct experiments on the scenario where different...
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