基于改进K-匿名算法的个人信息隐私保护应用

Application of Personal Privacy Protection Based on Improved K-anonymity Algorithm

研究个人信息隐私保护的方法。当前对个人信息的保护越来越重要,传统的个人信息隐私保护算法中,没有对个人信息的属性进行有效的分类,造成算法效率较低。为了避免上述传统算法的弊端,提出了一种基于改进K-匿名算法的个人信息隐私保护方法。建立完整的个人信息隐私保护算法评价体系,对个人信息隐私保护方法进行有效的评价。利用聚类方法,对个人信息背景数据进行分类处理,从而为个人信息隐私保护提供准确的数据基础。计算个人信息标识符,从而获取个人信息损失惩罚因子,最终完成个人信息隐私保护。实验结果表明,利用本文算法进行个人信息隐私保护,可以极大地提高隐私保护的效率,并且降低个人信息的损失,取得了令人满意的结果。

In this paper, a method to protect privacy of personal information was researched. To avoid the draw- backs of traditional algorithms, this paper proposed a method of protecting the privacy of personal information based on improved K-anonymity algorithm. Firstly, a complete algorithm evaluation system of personal information privacy protection was created to effectively evaluate the personal information privacy protection method. Then, a clustering method was used to classify personal background data, providing accurate data base for personal information privacy. Finally, the personal information identifier was calculated to get the loss penalty factor of personal information and complete the personal information privacy protection. The experimental results show that the algorithm presented in this paper for personal privacy, can greatly improve the efficiency of the privacy protection, reduce the loss of person- al information and obtain satisfactory results.