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Quantification of Integrity

File(s)
integrity-tr.pdf (352.6 KB)
Main Article
Permanent Link(s)
https://hdl.handle.net/1813/14470
Collections
Computing and Information Science Technical Reports
Author
Clarkson, Michael
Schneider, Fred
Abstract

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.

Sponsorship
Supported in part by AFOSR grant F9550-06-0019, National Science Foundation grants 0430161 and CCF-0424422 (TRUST), and a gift from Microsoft Corporation.
Date Issued
2010-02-12T18:57:37Z
Keywords
Integrity
•
Quantitative information flow
•
Information theory
•
Database privacy
Type
article

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