Personal information de-identification architecture and standardization

Anming XIE; Tao JIN; Tao ZHOU

doi:10.11959/j.issn.2096-0271.2017048

您当前的位置：

首页 >

文章列表页 >

Personal information de-identification architecture and standardization

Topic:big data security and privacy protection | 更新时间：2024-06-03

- Personal information de-identification architecture and standardization
- Big data research Vol. 3, Issue 5, Pages: 2017048(2017)
- 作者机构：
  
  1. 北京启明星辰信息安全技术有限公司，北京 100081
  2. 清华大学软件学院，北京 100084
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2017048
  CLC： TP309
- Online First：2017-09，
  
  Published：20 September 2017
- 稿件说明：
移动端阅览
Anming XIE, Tao JIN, Tao ZHOU. Personal information de-identification architecture and standardization[J]. Big data research, 2017, 3(5): 2017048.
DOI：

Anming XIE, Tao JIN, Tao ZHOU. Personal information de-identification architecture and standardization[J]. Big data research, 2017, 3(5): 2017048. DOI： 10.11959/j.issn.2096-0271.2017048.

摘要

随着大数据的发展，个人信息保护面临严峻的安全形势，去标识化有助于平衡个人信息保护要求和数据共享利用需求。分析了国内外去标识化研究现状，结合我国法律有关要求和个人信息保护的迫切需求，提出了个人信息去标识化框架，给出了规范化的去标识化过程指南。考虑到相关工作的推进，结合大数据安全标准体系，提出了去标识化标准规范研究建议。

Abstract

With the development of big data

there are many difficulties to protect personal information.De-identification removes identifiable information from a dataset so that individual data cannot be linked with specific individuals.De-identification thus helps to balance the contradictory goals of sharing personal information while protecting privacy.De-identification architecture on personal information was proposed.The specifications on implementing a de-identification process were described.On the basis of big data security standard system

some suggestions were proposed to develop de-identification standards.

关键词

Keywords

references

FUNG B C M , WANG K , CHEN R , et al . Privacy-preserving data publishing:a survey on recent developments [J ] . ACM Computing Surveys , 2010 , 42 ( 4 ):14.

周水庚 , 李丰 , 陶宇飞 , 等 . 面向数据库应用的隐私保护研究综述 [J ] . 计算机学报 , 2009 , 32 ( 5 ): 847 - 861 .

ZHOU S G , LI F , TAO Y F , et al . Privacy preservation in database applications:a survey [J ] . Chinese Journal of Computers , 2009 , 32 ( 5 ): 847 - 861 .

SWEENEY L . Achieving k-anonymity privacy protection using generalization and suppression [J ] . International Journal of Uncertainty,Fuzziness and KnowledgeBased Systems , 2002 , 10 ( 5 ): 571 - 588 .

MACHANAVAJJHALA A , KIFER D , GEHRKE J , et al . l-Diversity:privacy beyond k-anonymity [J ] . ACM Transactions on Knowledge Discovery from Data , 2007 , 1 ( 1 ):24.

LI N H , LI T C , VENKATASUBRAMANIAN S . t-Closeness:privacy beyond k-anonymity and l-diversity [C ] // The 23rd International Conference on Data Engineering,April 15-20,2007,Istanbul,Turkey . New Jersey:IEEE Press , 2007 : 106 - 115 .

BYUN J W , SOHN Y , BERTINO E , et al . Secure anonymization for incremental datasets [C ] // International Conference on Secure Data Management,September 10-11,2006,Seoul,Korea . Berlin:SpringerVerlag , 2006 : 48 - 63 .

CYNTHIA D , . Differential privacy [C ] // The 33rd International Colloquium on Automata,Languages and Programming,July 9-16,2006,Venice,Italy . Berlin:Springer-Verlag , 2006 : 1 - 12 .

Institute of Medicine of the National Academies.Sharing clinical trial data:maximizing benefit,minimizing risks [M ] . Wasting DC : The National Academies PressPress , 2015 : 195 - 196 .

周明 . 支付标记化技术解读 [J ] . 金卡工程 , 2015 ( 9 ): 54 - 56 .

ZHOU M . Interpretation of payment markup Technology [J ] . Cards World , 2015 ( 9 ): 54 - 56 .

Views

2195

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Study on big data management for government based on privacy protection

Architecture,challenges and applications of edge computing

Logistics big data standardization and case study

Big data standards system

Related Author

Zheng LI

Ying HONG

Linzhe LI

Peilei ZHOU

Peng CHENG

Zhiguo SHI

Fan JIANG

Qun ZHANG

Related Institution

China Unicom Global Ltd.

Business School of Beijing Technology and Business University

State Key Laboratory of Industrial Control Technology,Zhejiang University

Alibaba-Zhejiang University Joint Institute of Frontier Technologies

Zhejiang Public Information Industry Co.,Ltd.

Postal code：100079
Tel：（010）53879208、53859533 Email：bdr@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
Total Visits：273386 Visits Today：292

⁰