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http://hdl.handle.net/1813/22012
| Title: | Quantification of Integrity |
| Authors: | Clarkson, Michael R. Schneider, Fred B. |
| Keywords: | integrity quantitative information flow information theory database privacy |
| Issue Date: | 12-Jan-2011 |
| 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. |
| Related Version: | Revises and expands an earlier tech report: http://ecommons.library.cornell.edu/handle/1813/14470 |
| URI: | http://hdl.handle.net/1813/22012 |
| Appears in Collections: | Computing and Information Science Technical Reports
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