Methods
for Reducing Disclosure Risks When Sharing Data:
Resources for
Further Research
There
is a growing community of researchers working on statistical
disclosure limitation methods. The sources on previous pages
provide good entry points into this literature. Here, we
describe additional resources for further investigation.
1. Journals that frequently
publish on privacy and confidentiality
Journal
of Privacy and Confidentiality
Journal
of Official Statistics
Transactions
on Data Privacy
Several journals have published
special issues devoted entirely to confidentiality,
including:
Statistica Neerlandica (1992, no. 2)
Journal
of Official Statistics (1993 no. 2; 1998 no. 4)
Statistics
and Computing (2003, no. 4)
Chance Magazine (2004, no.
4)
2.
Monographs on privacy and confidentiality
These monographs contain
research papers on confidentiality protection approaches. The
articles in these monographs are representative of research and
practice in statistical disclosure limitation.
Domingo Ferrer
J. and Saygin Y., eds. (2008) Privacy in Statistical
Databases 2008. Lecture Notes in Computer Science (5262),
Springer.
Domingo Ferrer, J. and Franconi, L. eds. (2006),
Privacy in Statistical Databases 2006. Lecture Notes in
Computer Science, Springer.
Doyle, P., J. Lane, J. Theeuwes,
and L. Zayatz, eds. (2002), Confidentiality, Disclosure Control
and Data Access: Theory and Practical Applications, Amsterdam,
The Netherlands: Elsevier Science.
3. Websites with technical
papers on privacy and confidentiality
National
Institute of Statistical Sciences Digital Government Project Website
UNECE/Eurostat
workshops on data confidentiality
National
Research Council reports: search "Information Security and
Privacy"
University
of Michigan Population Studies Center research on confidentiality
issues in data collection
Federal
Committee on Statistical Methodology conference papers
Software
for protecting microdata (mu-argus)
and tabular data (tau-argus)
from Statistics Netherlands.
4.
Bibliographies on privacy and confidentiality
References
on disclosure protection methods compiled by Bill Winkler (as of
2010).
5. Readings for selected topics
in statistical disclosure limitation
Quantifying
disclosure risks:
--
Reiter J (2005), "Estimating risks of identification disclosure
for microdata," Journal
of the American Statistical Association,
100, 1103 - 1113.
-- Skinner C and Shlomo N (2008), "Assessing
identification risk in survey microdata using log-linear models,"
Journal of the
American Statistical Association,
103, 989 - 1001.
Quantifying
data usefulness:
--
Karr AF, Kohnen CN, Oganian A, Reiter JP, and Sanil AP (2006), "A
framework for evaluating the utility of data altered to protect
confidentiality," The
American Statistician,
60, 224 - 232.
Data
swapping:
--
Fienberg SE and McIntyre J. (2004). "Data swapping: Variations
on a theme by Dalenius and Reiss," In Privacy
in Statistical Databases: PSD 2004 Proceedings
(Josep Domingo-Ferrer and Vicenç Torra, eds.), Lecture Notes in
Computer Science, Volume 3050, Springer-Verlag, 14-29.
-- The
NISS data swapping toolkit.
Noise
addition:
--
Yancey WE, Winkler WE, and Creecy RH (2002), "Disclosure risk
assessment in perturbative microdata protection," In Inference
Control in Statistical Databases 2002:
135-152.
Microaggregation:
--
Defays D (1997), "Protecting micro-data by micro-aggregation:
The experiences in Eurostat," Questiio,
21, 221 - 231.
Multiple
imputation for disclosure limitation:
-- Reiter, JP (2008), "Protecting data confidentiality in
public release datasets: Approaches based on multiple imputation,"
The Imputation
Bulletin, 8.2, 1
- 6. (Link
to paper).
--
The Survey of Income and Program Participation synthetic data project
(Link
to project website).
Cell
suppression:
--
Kirkendall, N. and Sande, G. (1998) "Comparison of systems
implementing automated cell suppression for economic statistics,"
Journal of
Official Statistics,
14:513-535.