DocumentCode
2272797
Title
A modular covert channel analysis methodology for trusted DG/UXTM
Author
Kemmerer, Richard A. ; Taylor, Tad
Author_Institution
Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA
fYear
1996
fDate
9-13 Dec 1996
Firstpage
224
Lastpage
235
Abstract
The covert channel analysis (CCA) approach presented in the paper leverages off of the subsystem architecture of the DG/UX kernel. The kernel is structured so that each of the elements of the system state is under the control of a single subsystem. That is, these elements can only be referenced or modified by functions of the controlling subsystem; thus, each subsystem can be thought of as an abstract object. In order to make the covert channel analysis task for the Trusted DG/UX kernel more manageable and, in particular, to deal with the Ratings Maintenance Program (RAMP), a modular approach that takes advantage of the subsystem architecture is used. The CCA approach used for analyzing DG/UX is to first perform an SRM analysis for each of the subsystems that contain an exported function directly invoked from one of the system calls. These subsystems are called “peer subsystems”. The information from the SRMs for all of the peer subsystems is then used to build the kernel-wide SRM
Keywords
Unix; operating system kernels; safety-critical software; security of data; CCA approach; DG/UX kernel; RAMP; Ratings Maintenance Program; SRM analysis; Trusted DG/UX; abstract object; commercial strength Unix system; exported function; kernel-wide SRM; modular approach; modular covert channel analysis methodology; peer subsystems; subsystem architecture; system calls; system state; Bandwidth; Computer architecture; Computer science; Control systems; Information resources; Kernel; Operating systems; Software engineering; State estimation; Trademarks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Security Applications Conference, 1996., 12th Annual
Conference_Location
San Diego, CA
ISSN
1063-9527
Print_ISBN
0-8186-7606-X
Type
conf
DOI
10.1109/CSAC.1996.569703
Filename
569703
Link To Document