Analysis and improvement of k-anonymity based on personalized anonymity
LI Li-le · Journal of Yanshan University · 2008
In this paper,the basic concept and relevant research of the k-anonymity is presented.The limitation of the k-anonymity and the shortcomings in the k-anonymity tables are analyzed.Ground on this point,a new method that improves k-anonymity is proposed.This method is based on the view of personalized anonymity,i.e.,a person can specify the degree of privacy protection for her/his sensitive values through a node in the taxonomy.The generalization is performed in two steps,the first is the QI-gener- alization,and the second is SA-generalization,and thus,this technique performs the minimum generalizations for satisfying ever- ybody's requirements,and retains the largest amount of information from the microdata.