个性化(α,l)-多样性k-匿名隐私保护模型

Personalized(α,l)-diversity k-anonymity Model for Privacy Preservation

针对传统隐私保护模型对个性化匿名缺乏考虑的问题,对现有的两种个性化匿名机制进行了分析。在k-匿名和l-多样性匿名模型的基础上,提出一种个性化(α,l)-多样性k-匿名模型来解决存在的问题。在该模型中,依据敏感程度的不同,对敏感属性的取值划分类别;设置相应的约束条件,并为特定的个体提供个性化的隐私保护。实验结果表明,所提模型在有效提供个性化服务的同时,具有更强的隐私保护能力。

Aiming at the problem that traditional privacy preservation model is lack of considering the personalized anonymity,this paper analyzed the existing two personalized anonymity mechanisms.On the basis of k-anonymity and l-diversity model,a personalized(α,l)-diversity k-anonymity model was proposed to solve the existing problems.In the proposed model,the sensitive attribute values are divided into several categories according to their sensitivities,each cate-gory is assigned with corresponding constraints,and the personalized privacy preservation is provided for specific individuals.The experimental results show that the proposed model can provide stronger privacy preservation while supp-lying personalized service efficiently.