Quantitative evaluation of confidentiality by entropy calculation

Author

Trouessin, Gilles

Author_Institution

Lab. d´´Autom. et d´´Anal. des Syst. CNRS, Toulouse, France

fYear

1991

fDate

18-20 Jun 1991

Firstpage

12

Lastpage

21

Abstract

The paper presents key aspects of fragmented data processing (FDP), an overall approach to the reliable processing of confidential information. FDP aims to provide dependability with respect to the following attributes: availability, reliability and security. The author presents the problem statement, which is an antagonism between usual fault tolerance techniques allowing high reliability/availability, and intrusion prevention techniques allowing high security. Then emphasis is placed on the fine grain fragmentation, that enables him to define a global framework for a quantitative evaluation of confidentiality preservation by entropy calculation. Basic operators are evaluated and comply with the a priori intuition: the finer the fragmentation, the better the confidentiality obtained

Keywords

entropy; fault tolerant computing; security of data; availability; confidentiality; dependability; entropy calculation; fault tolerance techniques; fine grain fragmentation; fragmented data processing; intrusion prevention techniques; reliability; security; Availability; Computer security; Data processing; Data security; Distributed computing; Entropy; Fault tolerance; Information security; Protection; Redundancy;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Security Foundations Workshop IV, 1991. Proceedings

Conference_Location

Franconia, NH

Print_ISBN

0-8186-2215-6

Type

conf

DOI

10.1109/CSFW.1991.151564

Filename

151564