Algorithm of Multiple Sensitive Attributes Privacy Based on Personal Anonymous

Abstract

This paper analyzes the (k, l) - Anonymous model need to address two key questions: re-encoding methods and information loss metrics, and in-depth analysis of the (k, l) - Anonymous model and similar models that exist in many sensitive attributes privacy disclosure and attack the problem while giving a certain amount of improvement. In order to avoid multiple records corresponding to a single individual in the situation over in anonymous generalization, this paper presents a new connection based on lossy re-encoding attribute more sensitive method, experimental results show that the coding method can keep the same person more sensitive to possible link between property information. Meanwhile, in order to solve the existing multi-anonymous model sensitive information, especially due to its relevance leak, the paper related to the privacy of individuals Anonymous technological trends, a relational database to solve more sensitive attribute data released disclosure of private information model, the paper gives the formal description of this model and the corresponding algorithms.