Quantification of Integrity

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jul 2010 United States Publisher:IEEEJournal:2010 23rd IEEE Computer Security Foundations Symposium

Authors: Clarkson, Michael R.; Schneider, Fred B.;

doi: 10.1109/csf.2010.10 , 10.1017/s0960129513000595

handle: 1813/14470 , 1813/22012

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 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.

Country

United States

Related Organizations

Cornell University
United States

Keywords

Integrity, Information theory, 330, Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.), Database privacy, Database theory, quantitative information flow, database privacy, Quantitative information flow, 004, 620, integrity, Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science), information theory

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