Title :
Quantification of Integrity
Author :
Clarkson, Michael R. ; Schneider, Fred B.
Author_Institution :
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
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;
Conference_Titel :
Computer Security Foundations Symposium (CSF), 2010 23rd IEEE
Conference_Location :
Edinburgh
Print_ISBN :
978-1-4244-7510-0
Electronic_ISBN :
1940-1434
DOI :
10.1109/CSF.2010.10