Data desensitization method and device
A data desensitization and data technology, applied in the field of data desensitization, can solve problems such as meaningless research, high overhead, and reduced data availability, and achieve the effect of simplifying computational complexity and reducing unnecessary overhead
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Embodiment 1
[0028] Please refer to figure 1 , a data desensitization method, comprising steps:
[0029] S1. Obtain the original data and perform nuclear processing to obtain new data;
[0030] Step S1 is specifically:
[0031] The original data is obtained, and the nonlinear data in the original data is converted into linear data by kernelization processing to obtain new data.
[0032] S2. Perform dimensionality reduction processing on the new data to obtain dimensionality-reduced data;
[0033] Step S2 is specifically:
[0034] The dimensionality reduction processing is performed on the new data through principal component analysis to obtain dimensionality-reduced data.
[0035] S3. Perform centralized processing on the data after dimension reduction to obtain desensitized data.
[0036] The centralized processing includes:
[0037] An equivalence set corresponding to the dimensionality-reduced data is constructed according to the distance minimization principle.
[0038] The cent...
Embodiment 2
[0041] The difference between this embodiment and Embodiment 1 is that this embodiment will further illustrate how the above-mentioned data desensitization method of the present invention is implemented in combination with specific application scenarios:
[0042] The present invention mainly includes two stages of data dimensionality reduction and centralized processing;
[0043] 1. Data dimensionality reduction stage
[0044] Get the original table data S to be published n×h , wherein, n is the number of records of the table data, h is the dimension of the table data, first, for the original table data S n×h The numerical non-linear data in the kernelization process is converted into numerical linear data, and the new table data S′ n×h ; Then, the new data S' is analyzed by principal component analysis n×h Perform dimensionality reduction processing to obtain table data S″ after dimensionality reduction.
[0045] Each record includes m public attributes and t sensitive at...
Embodiment 3
[0074] Please refer to figure 2 , a device 1 for data desensitization, including a memory 2, a processor 3, and a computer program stored in the memory 2 and operable on the processor 3, and the processor 3 implements the first embodiment when executing the program. each step.
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