Name
Abstract | ||
|---|---|---|
A number of methods have been proposed in the literature for masking (protecting) microdata. Nearly all of these methods may be implemented with different degrees of intensity, by setting the value of an appropriate parameter. However, even parameter variation may not be sufficient to realize appropriate levels of disclosure risk and data utility. In this paper we propose a new approach to protection of numerical microdata: applying multiple stages of masking to the data in a way that increases utility but controls disclosure risk. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11930242_10 | Privacy in Statistical Databases |
Keywords | Field | DocType |
appropriate level,sdc method,disclosure risk,different degree,appropriate parameter,parameter variation,multiple stage,new approach,data utility,numerical microdata,microdata protection,microdata | Data mining,Masking (art),Computer science,Risk management,Microdata (HTML),Information privacy | Conference |
Volume | ISSN | ISBN |
4302 | 0302-9743 | 3-540-49330-1 |
Citations | PageRank | References |
12 | 1.60 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anna Oganian | 1 | 43 | 7.02 |
| Alan F. Karr | 2 | 1005 | 76.93 |