Differentially private data release based on clustering anonymization
Based on the theory of anonymization,the DBSCAN method was applied to divide all the data records into different groups to cover individuals.To provide priv enhancement,the Laplace noise was added to the anonymized partitioned data to Integrated Tall Freezer perturb the real value of data record so that the requirements of differential Tank privacy