A Comparative Study of Query-Set Size and Fixed-Data Perturbation as Two Techniques to Secure Statistical Databases
Shouki A. Ebad · International Journal of Computer Applications · 2013
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.