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In this paper, we propose a hierarchical DP-K anonymous data release model based on binary tree clustering for the existing k-anonymity scheme and for minimizing the amount of information loss. A binary tree-based clustering algorithm (BTCA) is proposed to classify similar data records into the same equivalent class, which can improve the effect of clustering, reduce the information loss caused by anonymous data set release, and improve the availability of data. The clustered anonymous data sets redistribute different privacy budgets according to the privacy rights of the quasi-identifier attributes, and realize the hierarchical protection of the data with different degrees of sensitivity through the differential privacy noise increase mechanism, which enhances the privacy of the data. |
IEEE/ICACT20230212 Slide.05
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