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Private inference control
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Source Conference on Computer and Communications Security archive
Proceedings of the 11th ACM conference on Computer and communications security table of contents
Washington DC, USA
SESSION: Information flow table of contents
Pages: 188 - 197  
Year of Publication: 2004
ISBN:1-58113-961-6
Authors
David Woodruff  Massachusetts Institute of Technology
Jessica Staddon  Palo Alto Research Center
Sponsors
SIGSAC: ACM Special Interest Group on Security, Audit, and Control
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Access control can be used to ensure that database queries pertaining to sensitive information are not answered. This is not enough to prevent users from learning sensitive information though, because users can combine non-sensitive information to discover something sensitive. Inference control prevents users from obtaining sensitive information via such "inference channels", however, existing inference control techniques are not private - that is, they require the server to learn what queries the user is making in order to deny inference-enabling queries.

We propose a new primitive - private inference control (PIC) -which is a means for the server to provide inference control without learning what information is being retrieved. PIC is a generalization of private and symmetrically-private information retrieval (PIR/SPIR). While it is straightforward to implement access control using PIR (simply omit sensitive information from the database), it is nontrivial to implement inference control efficiently. We measure the efficiency of a PIC protocol in terms of its communication complexity, its round complexity, and the work the server performs per query. Under existing cryptographic assumptions, we give a PIC scheme which is simultaneously optimal, up to logarithmic factors, in the work the server performs per query, the total communication complexity, and the number of rounds of interaction. We also present a scheme requiring more communication but sufficient storage of state by the server to facilitate private user revocation. Finally, we present a generic reduction which shows that one can focus on designing PIC schemes for which the inference channels take a particularly simple threshold form.


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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Collaborative Colleagues:
David Woodruff: colleagues
Jessica Staddon: colleagues