DocumentCode
1642717
Title
Quantification of Integrity
Author
Clarkson, Michael R. ; Schneider, Fred B.
Author_Institution
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
fYear
2010
Firstpage
28
Lastpage
43
Abstract
Two kinds of integrity measures-contamination and suppression-are introduced. Contamination measures how much untrusted information reaches trusted outputs; it is the dual of information-flow confidentiality. Suppression measures how much information is lost from outputs; it does not have a confidentiality dual. Two forms of suppression are considered: programs and channels. Program suppression measures how much information about the correct output of a program is lost because of attacker influence and implementation errors. Channel suppression measures how much information about inputs to a noisy channel is missing from channel outputs. The relationship between quantitative integrity, confidentiality, and database privacy is examined.
Keywords
data integrity; data privacy; database management systems; channel suppression measures; database privacy; information flow confidentiality; integrity measures; integrity quantification; program suppression measures; untrusted information; Contamination; Databases; Mutual information; Pollution measurement; Receivers; Tin; Integrity; database privacy; information theory; quantitative information flow;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Security Foundations Symposium (CSF), 2010 23rd IEEE
Conference_Location
Edinburgh
ISSN
1940-1434
Print_ISBN
978-1-4244-7510-0
Electronic_ISBN
1940-1434
Type
conf
DOI
10.1109/CSF.2010.10
Filename
5552656
Link To Document