Privacy-protected multi-party diagnostic model fusion method and system, and cloud server

Abstract

The invention belongs to the technical field of information security, and discloses a privacy-protected multi-party diagnostic model fusion method and system, and a cloud server; including a trusted institution, a cloud server, and a medical center terminal. The trusted organization completes the system initialization and provides system parameters and key distribution for the medical center terminal and cloud computing server; the cloud computing server stores encrypted data resources, integrates the local diagnostic models to generate a global diagnostic model; the medical center terminal generates a local diagnostic model , and encrypt the local diagnosis model and send it to the cloud computing server, and also undertake the fusion computing task issued by the cloud computing server; the medical center terminal and the cloud computing server will perform mutual authentication in the service. The invention realizes the privacy protection of the local diagnosis model and the case data resources of the medical center, improves the system efficiency, and can be used to provide users with convenient and private online medical services in real life.

Description

technical field [0001] The invention belongs to the technical field of information security, and in particular relates to a privacy-protected multi-party diagnosis model fusion method and system, and a cloud server. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: With the development of data mining technology and the popularization of smart wearable devices, online medical diagnosis has appeared in people's daily life. Compared with traditional medical methods, online medical diagnosis breaks geographical restrictions, shortens the time for users to seek medical treatment, and provides users with a new way of seeking medical treatment. However, in the traditional online medical diagnosis system, the medical center server collects and analyzes the user's case data to form a local diagnosis model to provide services for the user. Due to the limited case data owned by a single medical center terminal, the generat...

AI Technical Summary

Problems solved by technology

This method ensures the security of the identity of the user who accesses the data, but since the data is not encrypted, once it is stolen during transmission, it will cause data leakage

[0003] To sum up, the problems existing in the existing technology are: the existing online medical diagnosis service method has a single diagnosis model, and there is no encryption in the data transmission process; in the application, it will cause low diagnosis accuracy, data leakage, and failure to protect user privacy

[0004] The difficulty and significance of solving the above technical problems: traditional secure multi-party computing and other technologies cannot balance privacy protection and data processing efficiency well, and anonymization technology will bring large communication overhead

The use of the above technologies cannot meet the characteristics of large amount of data, real-time diagnosis and timely feedback in the fusion of diagnostic models

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