A data sharing cloud-assisted electronic medical system capable of searching and protecting privacy
A data sharing, electronic medical technology, applied in the direction of digital data protection, patient-specific data, electronic digital data processing, etc., to achieve the effect of ensuring integrity and correctness, ensuring privacy and security, and improving efficiency
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Embodiment 1
[0056] This embodiment describes in detail the specific implementation of a data sharing cloud-assisted electronic medical system for data search, data privacy protection, and data sharing that can be searched and protected.
[0057] The overall model of a searchable and privacy-protected data sharing cloud-assisted electronic medical system is as follows 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 owner's various physical indicators are collected through wearable devices to form a PHI file, 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 document. Then, the IoT gateway performs symmetric encryption on the PHI file to generate an encrypted PHI file, performs homomorphic encryption and symmetric encryption on the keywords re...
Embodiment 2
[0065] This embodiment explains in detail our experiments on an electronic medical care system of the present invention. We mainly tested the electronic healthcare system in three scenarios. First of all, we conducted experiments on the scenario of a different number of stored files in the cloud server A. In this scenario, we conducted a simulation experiment of keyword range search. The experimental results are as follows image 3 , The experiment is mainly on the range of 10, 20, 30, because PHI files are randomly generated, so as the number of stored files increases, the number of returned files will increase, and the required time will become longer. When the returned files are more than 6000 and the query keyword range is 30, the time required 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. Second, we conduct experiments on the scenario where different numbers o...
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