Big data security privacy protection method based on geometric deformation and storage medium

Abstract

The invention relates to the field of big data processing, and discloses a big data security privacy protection method based on geometric deformation and a storage medium. The method comprises the following steps: establishing an attribute sensitive set: dividing attributes of data into four sets which represent four sensitive degrees; cleaning data: deleting incomplete data entries, and serializing discrete data to obtain to-be-divided data; dividing data: screening out data corresponding to all attributes in the same sensitive set, and classifying the data into different columns of the samematrix to form a homosensitive data set; carrying out geometric deformation: carrying out corresponding translation, scaling, rotation or similar transformation processing on the homosensitive data set, and recording transformation parameters so as to be used in subsequent inverse transformation processing; and obtaining a final data set, wherein the four data sets after transformation processingare one data set. A concise, efficient and graded data privacy protection method can be provided for release and transmission of mass data, and data restoration can be achieved through geometric deformation inverse transformation.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a geometric deformation-based big data security and privacy protection method and a storage medium. Background technique [0002] When data sharing and exchange, data release and data use are carried out in the big data environment, it provides a method of data privacy hierarchical protection, which can resist the attacks of data analysis methods such as cluster analysis, and can solve the privacy security of big data from the source of data question. At present, the methods used to provide privacy protection in the big data environment mainly include: technology based on data distortion, technology based on data encryption, technology based on restricted release, etc. These methods have the following characteristics and disadvantages. [0003] (1) Method 1: Technology based on data distortion [0004] This method distorts sensitive data by means of adding noise, in...

AI Technical Summary

Problems solved by technology

[0009] In order to solve the above problems, the present invention proposes a large data security and privacy protection method and storage medium based on geometric deformation, which can solve the problem that the efficiency and data security of sensitive data using privacy protection technology in traditional methods cannot be guaranteed at the same time. Privacy-protected data cannot be easily and efficiently recovered and reused as needed, and solve the problem that privacy protection cannot be efficiently and uniformly processed in the three stages of data source, data frame and data analysis, and realize privacy protection from part to whole , it can also solve the problem that the traditional privacy protection technology based on anonymity can only achieve the tolerable privacy disclosure and cannot achieve complete privacy protection

Images