A Privacy Protection Model Based On K-Anonymity

In this paper, we focuse that the existing k-anonymity does not fully consider the privacy protection degree issues of sensitive attribute, proposing a (p,  )-sensitive k-anonymity privacy protection model based on privacy protection degree grouping of sensitive attribute. The solution can not only effectively protect highly sensitive private information and reduce the risk of privacy leakage, but also reduce loss of information from the anonymous processing to improve the quality of the data.