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On Strong Observational Refinement and Forward Simulation

[Submitted on 30 Jul 2021]

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Abstract: Hyperproperties are correctness conditions for labelled transition systems
that are more expressive than traditional trace properties, with particular
relevance to security. Recently, Attiya and Enea studied a notion of strong
observational refinement that preserves all hyperproperties. They analyse the
correspondence between forward simulation and strong observational refinement
in a setting with finite traces only. We study this correspondence in a setting
with both finite and infinite traces. In particular, we show that forward
simulation does not preserve hyperliveness properties in this setting. We
extend the forward simulation proof obligation with a progress condition, and
prove that this progressive forward simulation does imply strong observational

Submission history

From: Brijesh Dongol [view email]

Fri, 30 Jul 2021 09:31:13 UTC (218 KB)

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