Hostname: page-component-74656f9884-2dmjx Total loading time: 0 Render date: 2026-11-08T02:58:01.134Z Has data issue: false hasContentIssue false

Quantification of integrity†

Published online by Cambridge University Press:  10 November 2014

MICHAEL R. CLARKSON
Affiliation:
Department of Computer Science, Cornell University, Ithaca, NY, 14853, USA Email: clarkson@cs.cornell.edu
FRED B. SCHNEIDER
Affiliation:
Department of Computer Science, Cornell University, Ithaca, NY, 14853, USA Email: fbs@cs.cornell.edu
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

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 the 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 interesting confidentiality duals. As a case study, a quantitative relationship between integrity, confidentiality and database privacy is examined.

Information

Type
Special Issue: Quantitative Information Flow
Copyright
Copyright © Cambridge University Press 2014