The Research of Personalized-Granular k-anonymity
Liu Y · Shuxue de shijian yu renshi · 2010
Based on the researches of recently granular computing rough set theory and k-anonymous theory,we propose a new anonymous method,called personalized-granular k-anonymity. It is the first time we use private granular decision to decide the privacy preservation degree,which can be clustered into different spacious,to achieve the different privacy protection demands.The heuristic algorithms and the correlative definitions are also given in the paper.It has been theoretically proved that the new method can achieve more reasonable privacy protection,and improve its accuracy.