Quantification of Integrity
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Clarkson, Michael; Schneider, Fred
Two information-flow integrity measures are introduced: contamination and suppression. The former is dual to information-flow confidentiality, and the latter is analogous to the standard model of channel reliability from information theory. The relationship between quantitative integrity, confidentiality, and database privacy is examined.
Supported in part by AFOSR grant F9550-06-0019, National Science Foundation grants 0430161 and CCF-0424422 (TRUST), and a gift from Microsoft Corporation.
Integrity; Quantitative information flow; Information theory; Database privacy