SI-19(5) Statistical Disclosure Control
Control enhancement of SI-19 De-identification
Control
Manipulate numerical data, contingency tables, and statistical findings so that no individual or organization is identifiable in the results of the analysis.
Discussion
Many types of statistical analyses can result in the disclosure of information about individuals even if only summary information is provided. For example, if a school that publishes a monthly table with the number of minority students enrolled, reports that it has 10-19 such students in January, and subsequently reports that it has 20-29 such students in March, then it can be inferred that the student who enrolled in February was a minority.
Need SI-19(5) implemented and evidenced?
We assess where you stand against this control, document the gap, and build the remediation plan your auditor and your board will both accept.
Control catalog and framework text on this page is reproduced from official NIST publications — a public-domain work of the U.S. Government (17 U.S.C. §105). Maverc commentary, groupings, and readiness guidance are our own and are not part of any NIST publication.
