Information flow: the logic of distributed systems
Information flow: the logic of distributed systems
What is a secret—and—what does that have to do with computer security?
NSPW '94 Proceedings of the 1994 workshop on New security paradigms
Capacity is the wrong paradigm
Proceedings of the 2002 workshop on New security paradigms
Covert channels and anonymizing networks
Proceedings of the 2003 ACM workshop on Privacy in the electronic society
A Mathematical Theory of Communication
A Mathematical Theory of Communication
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This paper presents a new paradigm for information theory which is a synthesis of Barwise-Seligman's qualitative theory and Shannon's quantitative theory. The new paradigm is best viewed as a meta-theory for Shannon information theories and allows different probability theories, and sub-sequently, new Shannon information theories, to work within a common framework. The resulting Shannon theories conform to a qualitative structure and decorate it with measures of information. This approach is useful for analyzing assurance problems where there the analysis must contend with incomplete and even contradictory information. In particular, the mathematical constructs of the theory allow one to use just about any logic which admits a companion measure theory.