National Academy of Sciences | 150 Year Anniversary

Questions? Call 800-624-6242

| Items in cart [0]

The National Academies Press

PAPERBACK
price:$49.00
add to cart

Rights & Permissions

topleft topright

Protecting Individual Privacy in the Struggle Against Terrorists: A Framework for Program Assessment (2008)
Committee on Law and Justice (CLAJ)
Committee on National Statistics (CNSTAT)
Computer Science and Telecommunications Board (CSTB)

Citation Manager

. "Appendix L: The Science and Technology of Privacy Protection." Protecting Individual Privacy in the Struggle Against Terrorists: A Framework for Program Assessment. Washington, DC: The National Academies Press, 2008.

Please select a format:

BibTeX EndNote RefMan


Page
280
bottomleft bottomright

The following HTML text is provided to enhance online readability. Many aspects of typography translate only awkwardly to HTML. Please use the page image as the authoritative form to ensure accuracy.


Protecting Individual Privacy in the Struggle Against Terrorists: A Framework for Program Assessment

to match persons in the Current Population Survey (sample size, about 60,000 households) with IRS returns. The Census Bureau and the IRS provide the data to a group that links the records to produce a set of files that contain information from both sources. The merged files are redacted, and noise is added until neither the Census Bureau nor the IRS can rematch the linked files with their original files.31 The data are released as a form of PUMS file. Those who prepared the PUMS file have done sufficient testing to offer specific guarantees regarding the protection of individuals whose data went into the preparation of the file. This example illustrates not only the complexity of data protection associated with record linkage but the likely lack of utility of statistical-agency data for terrorism prevention, because linked files cannot be matched to individuals.

R. Mooney, W.W. Cohen, P. Ravikumar, and S.E. Fienberg, “Adaptive name-matching in information integration,” IEEE Intelligent Systems 18(5):16-23, 2003.

31

For more details, see J.J. Kim and W.E. Winkler, “Masking microdata files,” pp. 114-119 in Proceedings of the Survey Research Methods Section, American Statistical Association, Alexandria, Va., 1995; J.J. Kim and W.E. Winkler, Masking Microdata Files, Statistical Research Report Series, No. RR97-3, U.S. Bureau of the Census, Washington, D.C., 1997.

Page
280