Anonymization of Statistical Data

被引：2

作者：

di Vimercati, Sabrina De Capitani ^{[1
]}

Foresti, Sara ^{[1
]}

Livraga, Giovanni ^{[1
]}

Samarati, Pierangela ^{[1
]}

机构：

[1] Univ Milan, DTI, Via Bramante 65, I-26013 Crema, CR, Italy

来源：

IT-INFORMATION TECHNOLOGY | 2011年 / 53卷 / 01期

关键词：

2.7 [Information Systems: Database Management: Database Administration] Security integrity and protection; H. 2.8 [Information Systems: Database Management: Database Applications] Statistical databases; K. 6.5 [Computing Milieux: Management of Computing and Information Systems: Security and Protection;

D O I：

10.1524/itit.2011.0620

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the modern digital society, personal information about individuals can be collected, stored, shared and disseminated much more easily and freely. Such data can be released in "macrodata" form, reporting aggregated information, or in "microdata" form, reporting specific information on individual respondents. To ensure proper privacy of individuals as well of public and private organizations, it is then important to protect possible sensitive information in the original dataset from either direct or indirect disclosure. In this paper, we characterize macrodata and microdata releases and then focus on microdata protection. We provide a characterization of the main microdata protection techniques and describe recent solutions for protecting microdata against identity and attribute disclosure, discussing some open issues that need to be investigated.

引用

页码：18 / 25

页数：8

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