NDLI: Security-control methods for statistical databases: a comparative study

Content Provider	ACM Digital Library
Author	Adam, Nabil R. Worthmann, John C.
Copyright Year	1989
Abstract	This paper considers the problem of providing security to statistical databases against disclosure of confidential information. Security-control methods suggested in the literature are classified into four general approaches: conceptual, query restriction, data perturbation, and output perturbation.Criteria for evaluating the performance of the various security-control methods are identified. Security-control methods that are based on each of the four approaches are discussed, together with their performance with respect to the identified evaluation criteria. A detailed comparative analysis of the most promising methods for protecting dynamic-online statistical databases is also presented.To date no single security-control method prevents both exact and partial disclosures. There are, however, a few perturbation-based methods that prevent exact disclosure and enable the database administrator to exercise "statistical disclosure control." Some of these methods, however introduce bias into query responses or suffer from the 0/1 query-set-size problem (i.e., partial disclosure is possible in case of null query set or a query set of size 1).We recommend directing future research efforts toward developing new methods that prevent exact disclosure and provide statistical-disclosure control, while at the same time do not suffer from the bias problem and the 0/1 query-set-size problem. Furthermore, efforts directed toward developing a bias-correction mechanism and solving the general problem of small query-set-size would help salvage a few of the current perturbation-based methods.
Starting Page	515
Ending Page	556
Page Count	42
File Format	PDF
ISSN	03600300
e-ISSN	15577341
DOI	10.1145/76894.76895
Journal	ACM Computing Surveys (CSUR)
Volume Number	21
Issue Number	4
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1989-12-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computer Science

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