eCommons

 

Quantification of Integrity

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Abstract

Three integrity measures are introduced: contamination, channel suppression, and program suppression. Contamination is a measure of how much untrusted information reaches trusted outputs; it is the dual of leakage, which is a measure of information-flow confidentiality. Channel suppression is a measure of how much information about inputs to a noisy channel is missing from channel outputs. And program suppression is a measure of how much information about the correct output of a program is lost because of attacker influence and implementation errors. Program and channel suppression do not have confidentiality duals. As a case study, the relationship between quantitative integrity, confidentiality, and database privacy is examined.

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Supported in part by ONR grant N00014-09-1-0652, AFOSR grant F9550-06-0019, NSF grants 0430161, 0964409, and CCF-0424422 (TRUST), and a gift from Microsoft Corporation.

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2011-01-12

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integrity; quantitative information flow; information theory; database privacy

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Revises and expands an earlier tech report: http://ecommons.library.cornell.edu/handle/1813/14470

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