An Extended Memoryless Inference Control Method: Accounting for Dependence in Table-level Controls.

S. C. Hansen, E. A. Unger: An Extended Memoryless Inference Control Method: Accounting for Dependence in Table-level Controls. SIGMOD Conference 1991: 348-356

@inproceedings{DBLP:conf/sigmod/HansenU91,
  author    = {S. C. Hansen and
               E. A. Unger},
  editor    = {James Clifford and
               Roger King},
  title     = {An Extended Memoryless Inference Control Method: Accounting for
               Dependence in Table-level Controls},
  booktitle = {Proceedings of the 1991 ACM SIGMOD International Conference on
               Management of Data, Denver, Colorado, May 29-31, 1991},
  publisher = {ACM Press},
  year      = {1991},
  pages     = {348-356},
  ee        = {http://doi.acm.org/10.1145/115790.115853, db/conf/sigmod/HansenU91.html},
  crossref  = {DBLP:conf/sigmod/91},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Memoryless inference controls are an important class of inference control methods for on-line statistical databases. Other inference controls are usually too complex to use in on-line systems. A subclass of memoryless inference controls which have been shown to require a reasonable level of computation are table level controls. Table level controls described in the literature make some assumptions about the structure of the database on which they are used. We formalize these assumptions as database restrictions, and formally prove that these table level controls provide an accurate measure of the identification risk of a query. In addition we extend these controls to account for interdependence among attributes.

Copyright © 1991 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.

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James Clifford, Roger King (Eds.): Proceedings of the 1991 ACM SIGMOD International Conference on Management of Data, Denver, Colorado, May 29-31, 1991. ACM Press 1991 BibTeX , SIGMOD Record 20(2), June 1991
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References

[AW89]: Nabil R. Adam, John C. Wortmann: Security-Control Methods for Statistical Databases: A Comparative Study. ACM Comput. Surv. 21(4): 515-556(1989) BibTeX
[DS83]: Dorothy E. Denning, Jan Schlörer: Inference Controls for Statistical Databases. IEEE Computer 16(7): 69-82(1983) BibTeX
[DSW84]: ...
[Sch75]: ...

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