Privacy preserving approach based on proximity privacy for numerical sensitive attributes

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

doi:10.11959/j.issn.1000-436x.2015093

您当前的位置：

首页 >

文章列表页 >

Privacy preserving approach based on proximity privacy for numerical sensitive attributes

academic paper | 更新时间：2024-06-05

- Privacy preserving approach based on proximity privacy for numerical sensitive attributes
- Journal on Communications Vol. 36, Issue 4, Pages: 97-104(2015)
- 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：
  
  The National Natural Science Foundation of China(61073041);The National Natural Science Foundation of China(61073043);The National Natural Science Foundation of China(61370083);The National Natural Science Foundation of China(61402126);The Research Fund for the Doctoral Program of Higher Education of China(20112304110011);The Research Fund for the Doctoral Program of Higher Education of China(20122304110012)
- DOI：10.11959/j.issn.1000-436x.2015093
  CLC： TP309.2
- Online First：2015-04，
  
  Published：25 April 2015
- 稿件说明：
移动端阅览
Jing XIE, Jian-pei ZHANG, Jing YANG, et al. Privacy preserving approach based on proximity privacy for numerical sensitive attributes[J]. Journal on Communications, 2015, 36(4): 97-104.
DOI：

Jing XIE, Jian-pei ZHANG, Jing YANG, et al. Privacy preserving approach based on proximity privacy for numerical sensitive attributes[J]. Journal on Communications, 2015, 36(4): 97-104. DOI： 10.11959/j.issn.1000-436x.2015093.

摘要

提出一种面向近邻泄露的数值型敏感属性隐私保护方法，该方法首先在保护准标识符属性和数值型敏感属性内在关系的前提下，将数值型敏感属性进行离散化划分；然后，提出一种面向近邻泄露的隐私保护原则——(k，ε)-proximity；最后，设计了最大邻域优先算法MNF(maximal neighborhood first)来实现该原则。实验结果表明，提出的方法能在有效保护数值型敏感信息不泄露的同时保持较高的数据效用，并且保护了数据间的关系。

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.

关键词

Keywords

references

XU Y ， MA T ， TANG M ， et al . A survey of privacy preserving data publishing using generalization and suppression [J ] . Appl Math ， 2014 ， 8 ( 3 ): 1103 - 1116 .

SWEENEY L . k-anonymity:a model for protecting privacy [J ] . International Journal of Uncertainty，Fuzziness and Knowledge based Systems ， 2002 ， 10 ( 5 ): 557 - 570 .

TASSA T ， MAZZA A ， GIONIS A . k-concealment:an alternative model of k-type anonymity [J ] . Transactions on Data Privacy ， 2012 ， 5 ( 1 ): 189 - 222 .

MACHANAVAJJHALA A ， GEHRKE J ， KIFER D . l-diversity:privacy beyond k-anonymity [J ] . ACM Transactions on Knowledge Discovery from Data ， 2007 ， 1 ( 1 ): 1 - 52 .

ABDALAAL A ， NERGIZ M E ， SAYGIN Y . Privacy-preserving publishing of opinion polls [J ] . Computers & Security ， 2013 ， 37 ( 9 ): 143 - 154 .

SAROWAR S A H M ， LI J ， DING X ， et al . A general framework for privacy preserving data publishing [J ] . Knowledge-Based Systems ， 2013 ， 54 ( 12 ): 276 - 287 .

YE M ， WU X ， HU X ， et al . Anonymizing classification data using rough set theory [J ] . Knowledge-Based Systems ， 2013 ， 43 ( 5 ): 82 - 94 .

ZHANG Q ， KOUDAS N ， SRIVASTAVA D ， et al . Aggregate query answering on anonymized tables [A ] . Data Engineering，2007，ICDE 2007，IEEE 23rd International Conference [C ] . 2007 . 116 - 125 .

LI J X ， TAO Y F ， XIAO X K . Preservation of proximity privacy in publishing numerical sensitive data [A ] . Proceedings of ACM Conference on Management of Data (SIGMOD) [C ] . 2008 . 473 - 486 .

韩建民，于娟，虞慧群，等 . 面向数值型敏感属性的分级 l-多样性模型 [J ] . 计算机研究与发展， 2011 ， 48 ( 1 ): 147 - 158 .

HAN J M ， YU J ， YU H Q ， et al . A multi-level l-diversity model for numerical sensitive attributes [J ] . Journal of Computer Research and Development ， 2011 ， 48 ( 1 ): 147 - 158 .

WANG T ， MENG S ， BAMBA B ， et al . A general proximity privacy principle [A ] . Data Engineering，2009，ICDE'09，IEEE 25th International Conference [C ] . 2009 . 1279 - 1282 .

WANG T ， LIU L . XColor:protecting general proximity privacy [A ] . Data Engineering (ICDE)，2010 IEEE 26th International Conference [C ] . 2010 . 960 - 963 .

CAMPAN A ， COOPER N ， TRUTA T M . On-the-fly Generalization Hierarchies for Numerical Attributes Revisited [M ] . Secure Data Management，Springer Berlin Heidelberg ， 2011 . 18 - 32 .

LEFEVRE K ， DEWITT D J ， RAMAKRISHNAN R . Incognito:Efficient full-domain k –anonymity [A ] . Proc of the 2005 ACM SIGMOD Int Conf on Management of data [C ] . New York ， 2005 . 49 - 60 .

杨晓春，王雅皙，王斌等 . 数据发布中面向多敏感属性的隐私保护方法 [J ] . 计算机学报， 2008 ， 31 ( 4 ): 574 - 587 .

YANG X C ， WANG Y Z ， WANG B ， et al . Privacy preserving approaches for multiple sensitive attributes in data publishing [J ] . Chinese Journal of Computers ， 2008 ， 31 ( 4 ): 574 - 587 .

LEFEVRE K ， DEWITT D J ， RAMAKRISHNAN R . Mondrian multidimensional k-anonymity [A ] . Proc of the 22nd Int Conf on Data Engineering [C ] . New York ， 2006 . 1 - 11 .

Views

2029

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Efficient privacy-preserving decision tree classification protocol

Privacy risk adaptive access control model via evolutionary game

Dynamic game and reliable recommendation based transferring reputation mechanism for mobile cloud computing

Security analysis of weighted network anonymity based on singular value decomposition

Network function outsourcing system based on prefix-preserving encryption

Related Author

Haojin ZHU

Qingqi PEI

Jiayi PENG

Lichuan MA

Shuwen XIANG

Youliang TIAN

Changgen PENG

Hongfa DING

Related Institution

The Department of Computer Science and Engineering, Shanghai Jiao Tong University

Shaanxi Key Laboratory of Blockchain and Secure Computing

The State Key Laboratory of Integrated Services Networks, Xidian University

College of Computer Science and Technology, Guizhou University

College of Information, Guizhou University of Finance and Economics

AI问答

⁰