Data desensitization method and device and data leakage source positioning method and device

Abstract

The invention relates to a data desensitization method and device and a data leakage source positioning method and device. The data desensitization method comprises the steps of determining desensitization items, and defining desensitization mother rules; binding a unique rule variable for the user; and desensitizing an original data set by using a user rule; during data tracing, screening the original data set and a user rule set according to the tracing data set; extracting a part of tracing data set data as a tracing sample set; calling user rules in the user rule set to carry out inverse desensitization processing on the tracing sample set to obtain a user tracing set corresponding to each user rule; performing matching query on the data in the user tracing set in the original data set; and according to the matching query result, obtaining a leakage source of the tracing data set. According to the method, the desensitization item is used as a mark for distinguishing different users, concealment is achieved, data availability is kept, and privacy data protection is also achieved; and meanwhile, the data leakage source can be quickly positioned during data tracing.

Description

technical field [0001] The present invention relates to the technical field of information security, in particular to a data desensitization method and device, and a data leakage source location method and device. Background technique [0002] In the information society, the value contained in data has far exceeded the ability of a single organization to develop and control. Therefore, entrust the data it owns to other organizations for data analysis, or make the data play the remaining value through data transaction flow, or within the organization Sharing data to each node has become a practical requirement to fully exploit the value of data. However, in the face of these practical needs, the following risks and concerns have become our constraints: 1. The leakage of personal privacy data; [0003] However, in the prior art, there is no better method that can effectively solve the above technical problems. Therefore, how to protect personal privacy data when using data, ...

AI Technical Summary

Problems solved by technology

However, in the face of these practical needs, the following risks and concerns have become our constraints: 1. The leakage of personal privacy data;

[0003] However, in the prior art, there is no better method that can effectively solve the above technical problems

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