关键词: 隐私匿名, 个性化, 逆聚类, l-多样性, 保护属性

Abstract: For achieving the different privacy preservation requirements of each individual,this paper presents a personalized extension l-diversity privacy anonymous model orienting individuals.This model proposes an extension l-diversity principle based on the traditional l-diversity,and realizes the requirement of personalized protection of relationship between individual and sensitive value by setting up guarding attributes on sensitive attributes.In the meantime,this paper also proposes a personalized extension l-diversity inverse clustering algorithm (PELI-clustering) to implement the privacy anonymous model presented in this paper.The experiments show that the proposed algorithm in this paper not only meets the requirements of personalized service,but also produces similar information loss to the traditional clustering-based l-diversity algorithm with less time cost,which achieves more effective privacy preservation.

Key words: privacy anonymity, personalized, inverse clustering, l-diversity, guarding attribute