Chinese Academy of Medical Sciences

Mingkun Tang

Sizhu Wu

Qing Qian

The provided is an anonymity algorithm-based data sharing privacy protection method. The method includes: identifying and merging an attribute that requires privacy protection, and specifying an anonymity processing object; performing first clustering by a MSAK anonymity algorithm to divide an original data set into a plurality of first subdata sets, and separating an outlier of each of the first subdata sets to form second subdata sets and a first tuple set to be allocated; performing second clustering on each of the second subdata sets to generate a plurality of clustering clusters including similar tuples, and determining the sizes of the clustering clusters and clipping distant tuples to form a first clustering cluster set, a second clustering cluster set and a second tuple set to be allocated; and performing third clustering, allocating all tuples to be allocated, and replacing all the tuples in the clustering clusters with clustering centers.

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Beijing, China

Mingkun Tang