A data fusion publishing algorithm based on differential privacy

Abstract

The invention discloses a data fusion publishing mechanism based on differential privacy, which comprises the following steps: step 1, determining a plurality of data owners, and carrying out data fusion on a data set through a classification fusion algorithm; Step 2, performing personalized differential privacy processing on the fused data, and setting a corresponding privacy budget according toa differential condition; And step 3, adding Laplace noise corresponding to the fused and graded data set to obtain fused privacy data with different privacy protection levels. According to the algorithm, the defect that a current data fusion publishing algorithm cannot resist background knowledge attacks is overcome, hierarchical publishing of personalized services is provided, meanwhile, time spent on data fusion is shortened, and it is guaranteed that the fused and published data have good quality and value.

Description

technical field [0001] The invention relates to a data fusion publishing algorithm, in particular to a data fusion publishing algorithm based on differential privacy. Background technique [0002] With the advent of the era of big data sharing, data fusion can make better decision analysis. For example, the integration of census records can more fully satisfy the investigation of living conditions, and the integration of patient medical data can help hospitals analyze information such as disease causes. However, while data sharing brings great convenience, the shared data has the problem of privacy leakage. Different users have different requirements for data use. When users have different trust levels and access rights, they need to publish data with different levels of privacy protection, which requires hierarchical release of data. Therefore, under the premise of not revealing data privacy in the process of data fusion, according to different trust levels of users, diff...

AI Technical Summary

Problems solved by technology

[0004] The present invention designs and develops a data fusion release algorithm based on differential privacy, which can overcome the shortcomings of existing algorithms that cannot resist background knowledge attacks, so that the fused data can better protect data privacy and will not cause the privacy budget to be exhausted. Reduce the time spent on data fusion and ensure that the data after fusion and release has high quality and value

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