k-anonymity is an important model in the field of privacy protection and it is an effective method to prevent privacy disclosure in micro-data release. However, it is ineffective for the attribute disclosure by the homogeneity attack. The existing models based on k-anonymity have solved this problem to a certain extent, but they did not distinguish the different values of the sensitive attribut...

Most of the organizations publish micro data for a variety of purposes including demographic and public health research. To protect the anonymity of the entities, data holders often remove or encrypt explicit identifiers. But, released information often contains quasi identifiers, which leak valuable information. Samarati and Sweeney introduced the concept of k-anonymity to handle this problem ...