Graded medical data publishing based on clustering

At present, most studies on medical data publishing have not partitioned the sensitive attribute values in semantics, so the published data is vulnerable to homogeneity attack. In order to resolve this problem, this paper presents a graded medical data publishing model uses clustering to partition the disease sensitive attribute values. And the experiment results show the new model has acceptable quality of released table, and is improved in security.