Unifying facets of information integrity
ICISS'10 Proceedings of the 6th international conference on Information systems security
Squeeziness: An information theoretic measure for avoiding fault masking
Information Processing Letters
Precise enforcement of progress-sensitive security
Proceedings of the 2012 ACM conference on Computer and communications security
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Two kinds of integrity measures—contamination and suppression—are introduced. Contamination measures how much untrusted information reaches trusted outputs; it is the dual of information-flow confidentiality. Suppression measures how much information is lost from outputs; it does not have a confidentiality dual. Two forms of suppression are considered: programs and channels. Program suppression measures how much information about the correct output of a program is lost because of attacker influence and implementation errors. Channel suppression measures how much information about inputs to a noisy channel is missing from channel outputs. The relationship between quantitative integrity, confidentiality, and database privacy is examined.