Pc. Chu, CELL SUPPRESSION METHODOLOGY - THE IMPORTANCE OF SUPPRESSING MARGINALTOTALS, IEEE transactions on knowledge and data engineering, 9(4), 1997, pp. 513-523
Citations number
25
Categorie Soggetti
Information Science & Library Science","Computer Sciences, Special Topics","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Computer Science Information Systems
Safeguarding confidential information is of paramount concern to gover
nment agencies in publishing statistical data. Given a set of sensitiv
e cells, the problem is to identify a set of complementary cells to su
ppress so as to mask the values of the sensitive cells. All of the exi
sting cell suppression methods fail to consider the relationships amon
g cell values and the representation of these relationships in margina
l totals. That marginal totals may contain potent information has not
been appreciated. This paper employs the theory of nominal data analys
is to demonstrate that the disclosure of marginal totals can be very r
isky. It recommends adding a front-end test to the existing methods. T
he goal is to identify a list of sensitive marginal totals that have t
o be suppressed. This increases the sophistication of cell suppression
methodology by providing an extra layer of protection.