Study and analysis of entropy classification algorithm for K-anonymity
K-匿名熵分类算法研究及分析*

This paper put forth a new K-anonymity model to protect the private information, applied the method based on entropy classification to it, and validated the validity of the model through experiment. The model ensured precision of the sharing data after K-anonymity kept the consistency with the original data utmostly, meanwhile, prevented private information from disclosure effectively.