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Randomizing, A Practical Method for Protecting Statistical Databases Against Compromise.

Ernst L. Leiss: Randomizing, A Practical Method for Protecting Statistical Databases Against Compromise. VLDB 1982: 189-196
@inproceedings{DBLP:conf/vldb/Leiss82,
  author    = {Ernst L. Leiss},
  title     = {Randomizing, A Practical Method for Protecting Statistical Databases
               Against Compromise},
  booktitle = {Eigth International Conference on Very Large Data Bases, September
               8-10, 1982, Mexico City, Mexico, Proceedings},
  publisher = {Morgan Kaufmann},
  year      = {1982},
  isbn      = {0-934613-14-1},
  pages     = {189-196},
  ee        = {db/conf/vldb/Leiss82.html},
  crossref  = {DBLP:conf/vldb/82},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

This paper reports on a method for protecting statistical databases against inference, developed over the past four years. The method, called randomizing, is conceptually elegant, easy to implement at very small additional cost, and requires no on-going maintenance. It can be equally applied to small and medium-size as well as large databases, because it does not depend on sampling techniques in the conventional sense. Thus we feel that randomizing is an eminently practical and effective method if the protection of statistical data against inference is of concern.

Copyright © 1982 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

Online Paper

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Printed Edition

Eigth International Conference on Very Large Data Bases, September 8-10, 1982, Mexico City, Mexico, Proceedings. Morgan Kaufmann 1982, ISBN 0-934613-14-1
Contents BibTeX

References

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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)
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