Cloud medical data monitoring system and monitoring method with efficient privacy protection function

Abstract

The invention discloses a cloud medical data monitoring system with an efficient privacy protection function, and a cloud medical data monitoring method with the efficient privacy protection function. The monitoring system comprises a sensor user used for providing medical data information, a data user used for querying the medical data information, a cloud server used for receiving a query request of the data user and sending the medical data information of the sensor user to the data user, and an authentication center used for performing registration authentication on the sensor user, the data user and the cloud server, wherein the sensor user encrypts the medical data information through encoding and uploads the encrypted medical data information to the cloud server; the cloud server directly performs query and vital sign situation analysis on a ciphertext without decrypting data; and the data user decrypts the ciphertext through a secret key and reads a query result. The monitoring method comprises five stages of system establishment, user registration, data acquisition, query request generation and query result returning. According to the system and the method, a ciphertext data query function is realized through encoding, and reliability and high efficiency are achieved.

Description

technical field [0001] The invention relates to the field of information security, in particular to an efficient privacy protection cloud medical data monitoring system and monitoring method. Background technique [0002] In the existing cloud medical system, the user's personal data is stored in clear text on the cloud platform, and the cloud server can directly know all the private data of the patient. Once the network attacker breaks through the external protection of the cloud server, he can steal all the private information; At the same time, there is no guarantee that cloud service providers will not use this information for profit, which brings great hidden dangers to personal privacy protection. [0003] In the existing privacy protection scheme, the data is only encrypted locally and uploaded to the cloud. When it needs to be used, all the data is downloaded and then decrypted to process the data. Physiological data for vital sign analysis cannot be directly applie...

AI Technical Summary

Problems solved by technology

[0002] In the existing cloud medical system, the user's personal data is stored in clear text on the cloud platform, and the cloud server can directly know all the private data of the patient. Once the network attacker breaks through the external protection of the cloud server, he can steal all the private information; At the same time, there is no guarantee that cloud service providers will not use this information for profit, which brings great hidden dangers to personal privacy protection

[0003] In the existing privacy protection scheme, the data is only encrypted locally and uploaded to the cloud. When it needs to be used, all the data is downloaded and then decrypted to process the data. Physiological data for vital sign analysis cannot be directly applied to the privacy protection of the cloud medical system

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