Privacy preserving approach based on proximity privacy for numerical sensitive attributes

Abstract

A model based on proximity breach for numerical sensitive attributes is proposed.At first，it divides numerical sensitive value into several intervals on the premise of protecting the internal relations between quasi-identifier attributes and numerical sensitive attributes.Secondly，it proposes a (k，ε)-proximity privacy preserving principle to defense proximity privacy.In the end，a maximal neighborhood first algorithm (MNF) is designed to realize the (k，ε)-proximity.The experiment results show that the proposed model can preserve privacy of sensitive data well meanwhile it can also keep a high data utility and protect the internal relations.

Keywords

• privacy preserving;numerical sensitive attributes;proximity privacy;discretization