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The tracker: a threat to statistical database security
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Source ACM Transactions on Database Systems (TODS) archive
Volume 4 ,  Issue 1  (March 1979) table of contents
Pages: 76 - 96  
Year of Publication: 1979
ISSN:0362-5915
Authors
Dorothy E. Denning  Purdue Univ., West Lafayette, IN
Peter J. Denning  Purdue Univ., West Lafayette, IN
Editors
Mayer D. Schwartz  Tektronix, Inc., Beaverton, OR
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 94,   Citation Count: 48
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ABSTRACT

The query programs of certain databases report raw statistics for query sets, which are groups of records specified implicitly by a characteristic formula. The raw statistics include query set size and sums of powers of values in the query set. Many users and designers believe that the individual records will remain confidential as long as query programs refuse to report the statistics of query sets which are too small. It is shown that the compromise of small query sets can in fact almost always be accomplished with the help of characteristic formulas called trackers. Schlörer's individual tracker is reviewed; it is derived from known characteristics of a given individual and permits deducing additional characteristics he may have. The general tracker is introduced: It permits calculating statistics for arbitrary query sets, without requiring preknowledge of anything in the database. General trackers always exist if there are enough distinguishable classes of individuals in the database, in which case the trackers have a simple form. Almost all databases have a general tracker, and general trackers are almost always easy to find. Security is not guaranteed by the lack of a general tracker.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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FELLE6{, I.P. On the question of statistical confidentiality. J. Amer. Statist. Assoc. 67, 337 (March 1972), 7-18.
 
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FELLEGI, I.P., AND PHILLIPS, J. L. Statistical confidentiality: Some theory and applications to data dissemination. Annals Econ. Soc'l Measurement 3, 2 (April 1974), 399-409.
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HAQ, M.I. Security in a statistical data base. Proc. Amer. Soc. Inform. Sci. 11 (1974), 33-39.
 
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HOFFMAN, L.J., AND MILLER, W.F. Getting a personal dossier from a statistical data bank. Datamation16, 5 (May 1970), 74-75.
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PALME, J. Software security. Datamation 20, 1 (Jan. 1974), 51-55.
 
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SCHLORER, J. Identification and retrieval of personal records from a statistical data bank. Methods of Inform. in Medicine 14, 1 (Jan. 1975), 7-I3.
 
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SCHLORZR, J. Confidentiality of statistical records: A threat monitoring scheme for on-line dialogue. Methods of Inform. in Medicine 15, 1 (Jan. 1976), 36-42.
 
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SCHLORER, J. Union tracker and open statistical databases. Rep. TB-IMSD 1/78, Institut ftir Medizinische Statistik und Dokumentation, Universi~t Giessen, June 1978.
 
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SCHWARTZ, M.D., DENNING, D.E., AND DENNING, P.J. Securing data bases under linear queries. Information Processing 77, North-Holland Pub. Co., Amsterdam, 1977, pp. 395-398.
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CITED BY  48
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Collaborative Colleagues:
Dorothy E. Denning: colleagues
Peter J. Denning: colleagues
Mayer D. Schwartz: colleagues

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