|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 68 - Issue 4 |
| Published: April 2013 |
| Authors: Shouki A. Ebad |
10.5120/11565-6856
|
Shouki A. Ebad . A Comparative Study of Query-Set Size and Fixed-Data Perturbation as Two Techniques to Secure Statistical Databases. International Journal of Computer Applications. 68, 4 (April 2013), 7-10. DOI=10.5120/11565-6856
@article{ 10.5120/11565-6856,
author = { Shouki A. Ebad },
title = { A Comparative Study of Query-Set Size and Fixed-Data Perturbation as Two Techniques to Secure Statistical Databases },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 68 },
number = { 4 },
pages = { 7-10 },
doi = { 10.5120/11565-6856 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Shouki A. Ebad
%T A Comparative Study of Query-Set Size and Fixed-Data Perturbation as Two Techniques to Secure Statistical Databases%T
%J International Journal of Computer Applications
%V 68
%N 4
%P 7-10
%R 10.5120/11565-6856
%I Foundation of Computer Science (FCS), NY, USA
A statistical database (SDB) is a database that contains a large number of individual sensitive records, but is intended to supply only statistical summary information to its users. A SDB suffers from the inference problem, a way to infer or derive sensitive data from non-sensitive data. In this study, two security techniques of SDBs, Query-Set Size and Fixed-Data Perturbation are selected to review and compare each other. As a result, no one is a perfect solution for the inference problem. The selection of technique depends on some factors mentioned in this paper.