A Privacy Preserving Approach Based on Attributes Correlation Partition for Multiple Sensitive Attributes

XIE Jing; ZHANG Jian-pei; YANG Jing; ZHANG Bing

doi:10.3969/j.issn.0372-2112.2014.09.009

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A Privacy Preserving Approach Based on Attributes Correlation Partition for Multiple Sensitive Attributes

更新时间：2025-07-16

- A Privacy Preserving Approach Based on Attributes Correlation Partition for Multiple Sensitive Attributes
- Acta Electronica Sinica Vol. 42, Issue 9, Pages: 1718-1723(2014)
- 作者机构：
  
  哈尔滨工程大学计算机科学与技术学院,黑龙江,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2014.09.009
  CLC： TP309.2
- Published：2014
- 稿件说明：
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XIE Jing, ZHANG Jian-pei, YANG Jing, et al. A Privacy Preserving Approach Based on Attributes Correlation Partition for Multiple Sensitive Attributes[J]. Acta Electronica Sinica, 2014, 42(9): 1718-1723.
DOI：

XIE Jing, ZHANG Jian-pei, YANG Jing, et al. A Privacy Preserving Approach Based on Attributes Correlation Partition for Multiple Sensitive Attributes[J]. Acta Electronica Sinica, 2014, 42(9): 1718-1723. DOI： 10.3969/j.issn.0372-2112.2014.09.009.

摘要

近年来，基于

-多样性的多维敏感属性的隐私保护研究日趋增多，然而大部分多敏感属性隐私保护方法都是基于有损分解的思想，破坏了数据间的关系，降低了数据效用.为此，提出了一种面向多敏感属性的隐私模型，首先给出一种

-maximum原则用以满足多敏感属性

-多样性要求；其次，为了保护属性间的相关性，根据属性间的依赖度对属性进行划分；最后设计并实现了MSA

-maximum（Multiple Sensitive Attributes

-maximum）算法.实验结果表明，提出的模型在保护隐私不泄露的同时，减少了元组的隐匿率，并且保护了数据间的关系.

Abstract

In recent years

-diversity models are suitable not only for single sensitive attribute data tables

but also for multiple sensitive attributes data tables.However

most of the research is based on lossy join

it breaks the relationship between data.To address these problems

a model based on multiple sensitive attributes is proposed.The main idea of the model is that it proposes a

-maximum principle that can satisfy the multiple sensitive attributes

-diversity at first.Then

to protect the relationship between data

the model partitions attributes by the dependency degree between attributes.Finally

a multiple sensitive attributes

-maximum algorithm(MSA

-maximum)is proposed.The experiment results show that the proposed model can preserve the security of sensitive data

meanwhile it can also reduce the information hidden rate and keep a high data utility.

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