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The Use of Regression Methodology for the Compromise of Confidential Information in Statistical Databases.

Michael A. Palley, Jeffrey S. Simonoff: The Use of Regression Methodology for the Compromise of Confidential Information in Statistical Databases. ACM Trans. Database Syst. 12(4): 593-608(1987)
@article{DBLP:journals/tods/PalleyS87,
  author    = {Michael A. Palley and
               Jeffrey S. Simonoff},
  title     = {The Use of Regression Methodology for the Compromise of Confidential
               Information in Statistical Databases},
  journal   = {ACM Trans. Database Syst.},
  volume    = {12},
  number    = {4},
  year      = {1987},
  pages     = {593-608},
  ee        = {http://doi.acm.org/10.1145/32204.42174, db/journals/tods/PalleyS87.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

A regression methodology based technique can be used to compromise confidentiality in a statistical database. This holds true even when the DBMS prevents application of regression methodology to the database. Existing inference controls, including cell restriction, perturbation, and table restriction approaches, are shown to be generally ineffective against this compromise technique. The effect of incomplete supplemental knowledge on the regression methodology based compromise technique is examined. Finally, some potential complicators of this disclosure scheme are introduced.

Copyright © 1987 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

Joint ACM SIGMOD / IEEE Computer Society Anthology

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References

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Jan Schlörer: Disclosure from Statistical Databases: Quantitative Aspects of Trackers. ACM Trans. Database Syst. 5(4): 467-492(1980) BibTeX
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BibTeX
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Referenced by

  1. Nabil R. Adam, John C. Wortmann: Security-Control Methods for Statistical Databases: A Comparative Study. ACM Comput. Surv. 21(4): 515-556(1989)
  2. Maurizio Rafanelli: Research Topics in Statistical and Scientific Database Management: the IV SSDBM. SSDBM 1988: 1-18
BibTeX
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