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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/22012
Title: Quantification of Integrity
Authors: Clarkson, Michael R.
Schneider, Fred B.
Keywords: integrity
quantitative information flow
information theory
database privacy
Issue Date: 12-Jan-2011
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.
Related Version: Revises and expands an earlier tech report: http://ecommons.library.cornell.edu/handle/1813/14470
URI: http://hdl.handle.net/1813/22012
Appears in Collections:Computing and Information Science Technical Reports

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