๐ค AI Summary
This paper addresses the challenge of precisely characterizing the quantitative security property Persistent Stochastic Non-Interference (PSNI) in stochastic process algebras. To this end, it proposes Exact Persistent Stochastic Non-Interference (EPSNI), grounded in Weak Exact Bisimulation. Methodologically, it refines internal action abstraction to establish a semantic foundation that jointly preserves observability and probabilistic behavior, integrating lumpable bisimulation with untangling bisimulation techniques. The contributions are threefold: (i) the first complete theoretical framework for EPSNI, with a rigorous proof of semantic equivalence to PSNI; (ii) preservation of strong compositionality, enabling modular security verification; and (iii) significantly enhanced quantitative reasoning about high-level interventions affecting low-level behavior in stochastic systems.
๐ Abstract
Persistent Stochastic Non-Interference (PSNI) was introduced to capture a quantitative security property in stochastic process algebras, ensuring that a high-level process does not influence the observable behaviour of a low-level component, as formalised via lumpable bisimulation. In this work, we revisit PSNI from a performance-oriented perspective and propose a new characterisation based on a refined behavioural relation. We introduce emph{weak-exact equivalence}, which extends exact equivalence with a relaxed treatment of internal ((ฯ)) actions, enabling precise control over quantitative observables while accommodating unobservable transitions. Based on this, we define emph{Exact PSNI} (EPSNI), a variant of PSNI characterised via weak-exact equivalence. We show that EPSNI admits the same bisimulation-based and unwinding-style characterisations as PSNI, and enjoys analogous compositionality properties. These results confirm weak-exact equivalence as a robust foundation for reasoning about non-interference in stochastic systems.