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Quantification of Integrity

File(s)
integrity-tr.pdf (472.15 KB)
revised January 2012
Permanent Link(s)
https://hdl.handle.net/1813/22012
Collections
Computing and Information Science Technical Reports
Author
Clarkson, Michael R.
Schneider, Fred B.
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 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 confidentiality duals. As a case study, the relationship between quantitative integrity, confidentiality, and database privacy is examined.

Sponsorship
Supported in part by
ONR grant N00014-09-1-0652,
AFOSR grant F9550-06-0019,
NSF grants 0430161, 0964409,
and CCF-0424422 (TRUST),
and a gift from Microsoft Corporation.
Date Issued
2011-01-12
Keywords
integrity
•
quantitative information flow
•
information theory
•
database privacy
Related Version
Revises and expands an earlier tech report: http://ecommons.library.cornell.edu/handle/1813/14470
Type
article

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