中文摘要：

提出了一种新的K-匿名模型对隐私信息进行保护,将熵分类的方法应用于K-匿名模型上,实验表明该模型的有效性,利用该模型对数据进行K-匿名处理后,确保共享数据具有很高的精确度,尽可能接近原始数据,同时有效地防止隐私信息的泄露。

英文摘要：

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.