Liping Li, Chinese Academy of Sciences, China
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 convert 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.
Citation:
Jianjun Shen, Sihan Qing, Qingni Shen, Liping Li, "Optimization of Covert Channel Identification," sisw, pp.95, Third IEEE International Security in Storage Workshop (SISW'05), 2005