A General Framework for Nondeterministic, Probabilistic, and Stochastic Noninterference

摘要

We introduce a notion of stochastic noninterference aimed at extending the classical approach to information flow analysis with fine-grain information describing the temporal behavior of systems. In particular, we refer to a process algebraic setting that joins durational activities expressing time passing through exponentially distributed random variables, zero duration activities allowing for prioritized/ probabilistic choices, and untimed activities with unspecified duration. In this setting unifying time, priority, probability, and nondeterminism, we highlight the expressive power of stochastic noninterference with respect to the existing definitions of nondeterministic and probabilistic noninterference. From this comparison, we obtain that stochastic noninterference turns out to be very strict and limiting in real-world applications and, therefore, requires the use of relaxation techniques. Among them we advocate performance evaluation as a means for achieving a reasonable balance between security requirements and quality.