(p,a)-sensitivek-匿名隐私保护模型

(p,a)-sensitive k-anonymity:privacy protection model

提出了一种(p,a)-sensitivek-匿名模型,将敏感属性根据敏感度进行分组,然后给各分组设置不同的约束,并给出了(p,a)-sensitiveK-匿名算法。实验结果表明该方法可以明显地减少隐私泄露,增强了数据发布的安全性。

This paper proposed a novel model （p, a）-sensitive k-anonymity. It divided sensitive attributes into groups according to the sensitivity, and set each group with different restriction. Described the corresponding algorithm to implement the idea. The result of the experiments suggests that the new model is able to reduce privacy disclosure apparently and enforce security of data publishing.