A Comparative Study of Query-Set Size and Fixed-Data Perturbation as Two Techniques to Secure Statistical Databases
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10.5120/11565-6856 |
Shouki A Ebad. Article: 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):7-10, April 2013. Full text available. BibTeX
@article{key:article,
author = {Shouki A. Ebad},
title = {Article: 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},
month = {April},
note = {Full text available}
}
Abstract
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.
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