Optimization of covert channel identification

Author

Shen, Jianjun ; Qing, Sihan ; Shen, Qingni ; Li, Liping

Author_Institution

Inst. of Software, Chinese Acad. of Sci., Beijing

fYear

2005

fDate

13-13 Dec. 2005

Lastpage

95

Abstract

We characterize the properties of covert channels and present a taxonomy of covert channels. Information flow sequence is adopted to represent information flows and covert channels. Covert channels are categorized according to their information flow characteristics. On this basis, we explore the optimization of covert channel identification with the shared resource matrix method adopted for demonstration. A general framework for covert channel identification founded on information flow analysis is proposed. We also review previous work within our framework. The application of our approach to a practical system is shown. At last, a new class of covert channels which used to be omitted by previous work is introduced

Keywords

channel estimation; optimisation; security of data; covert channel identification; information flow analysis; information flow sequence; optimization; shared resource matrix method; Bandwidth; Classification tree analysis; Computer security; Information analysis; Information security; Information technology; Matrix converters; Optimization methods; Taxonomy; Timing;

fLanguage

English

Publisher

ieee

Conference_Titel

Security in Storage Workshop, 2005. SISW '05. Third IEEE International

Conference_Location

San Francisco, CA

Print_ISBN

0-7695-2537-7

Type

conf

DOI

10.1109/SISW.2005.9

Filename

1628487