Patient medical privacy data protection method and device and computer storage medium

Abstract

The invention provides a patient medical privacy data protection method and device and a computer storage medium, and relates to the field of privacy data protection. The method realizes multi-dimensional K anonymous release of medical data through parameter initialization, data preprocessing, equivalence class division, equivalence class merging based on distribution distance measurement and data generalization. The privacy security of medical data is protected, a multi-dimensional K anonymous algorithm is applied to an intelligent medical scene, and the problems that a mainstream protection algorithm aiming at common inference attacks such as homogeneity attacks, similarity attacks and skewness attacks in the prior art focuses on research on the privacy protection situation only aiming at one piece of sensitive attribute data in the aspect of protection methods, the situation that multiple pieces of sensitive attribute data exist in one medical data table in the actual anonymous process is not considered, the situation is difficult to directly apply to medical information release with the multiple pieces of sensitive attribute data, and the problem of privacy disclosure exists are solved.

Description

technical field [0001] The invention relates to the technical field of privacy data protection, in particular to a method, device and computer storage medium for protecting patient medical privacy data. Background technique [0002] In recent years, China has continuously invested in the field of "Internet + medical care" to strengthen the construction of smart hospitals. Building a sound smart hospital has become an important issue in the development of medical and health care, realizing a safe medical data sharing system and solving the problem of medical data. The leakage of personal privacy data in sharing is an unavoidable problem. [0003] A series of reasoning attacks will be carried out during the release process of the actual medical data table, such as homogeneity attack, similarity attack and skew attack. Similarly, the attacker can directly determine the patient's medical sensitive information through the patient's personal information; similarity attack means t...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a patient medical privacy data protection method, system and computer storage medium, which solves the current problems proposed in the above-mentioned background technology, and aims at common homogeneity attacks, similarity attacks and skew In terms of protection methods, the mainstream protection algorithms for inference attacks such as sexual attacks focus on the privacy protection of only one sensitive attribute data, without considering the fact that there are multiple sensitive attribute data in a medical data table in the actual anonymization process, which is difficult. Directly applied to the release of medical information with multiple sensitive attribute data, there is a problem of privacy leakage

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