A Data Desensitization Method to Prevent Privacy Leakage

Abstract

The invention relates to the field of big data and discloses a data desensitization method for preventing privacy leakage. The method specifically includes the following procedures: according to the same index field between different data tables of the database, removing the explicit association; defining cryptographic functions for the index fields between the data tables to process the association IDs; calculating the association ID value according to the cryptographic function, and performing the data access after the association ID value is written. The technical scheme of the invention mainly adopts the thinking of cryptography, carries out the algorithm processing to the data table correlation field, and removes the strong association coupling between different tables and different data and user information in database, so it is impossible to know the association between data and information, and the relationship between data and user can not be confirmed even under the conditionof obtaining super privilege of user database, and the privacy protection of data is realized. This method can effectively prevent the privacy leakage caused by the direct access to the database caused by platform attacks, insider and so on.

Description

technical field [0001] The invention relates to the field of big data, in particular to a data desensitization method for preventing privacy leakage. Background technique [0002] With the development of intelligence and networking, the information age is the era of data collection. The purposeful collection, arrangement, processing, analysis, and utilization of data are the obvious characteristics of the big data era. [0003] The way of data collection can be automatic collection by sensors, automatic collection by smart devices, or in the background through apps, users browsing webpages and other modes. The current content of data collection has involved all aspects of individuals. Data has become the cornerstone of all our information applications. The collection of data, on the one hand, brings great convenience to individuals, but also brings potential risks of privacy leakage. [0004] In the field of medical and health care, the era of digital hospitals based on ...

AI Technical Summary

Problems solved by technology

[0008] (4) Expense records

To ensure that the database is copied and accessed without causing data leakage, the best way is to encrypt the database, but after the database is encrypted, it will bring new problems, such as the inability to perform fast retrieval, data statistical analysis, and Data mining, etc., will also greatly reduce the access speed of the database and increase additional deployment costs