Quantification of Integrity
Loading...
No Access Until
Permanent Link(s)
Other Titles
Author(s)
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.
Journal / Series
Volume & Issue
Description
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
Publisher
Keywords
integrity; quantitative information flow; information theory; database privacy
Location
Effective Date
Expiration Date
Sector
Employer
Union
Union Local
NAICS
Number of Workers
Committee Chair
Committee Co-Chair
Committee Member
Degree Discipline
Degree Name
Degree Level
Related Version
Revises and expands an earlier tech report: http://ecommons.library.cornell.edu/handle/1813/14470
Related DOI
Related To
Related Part
Based on Related Item
Has Other Format(s)
Part of Related Item
Related To
Related Publication(s)
Link(s) to Related Publication(s)
References
Link(s) to Reference(s)
Previously Published As
Government Document
ISBN
ISMN
ISSN
Other Identifiers
Rights
Rights URI
Types
article