License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2021.55
URN: urn:nbn:de:0030-drops-148575
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14857/
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Derrick, John ; Doherty, Simon ; Dongol, Brijesh ; Schellhorn, Gerhard ; Wehrheim, Heike

Brief Announcement: On Strong Observational Refinement and Forward Simulation

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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 refinement.

BibTeX - Entry

@InProceedings{derrick_et_al:LIPIcs.DISC.2021.55,
  author =	{Derrick, John and Doherty, Simon and Dongol, Brijesh and Schellhorn, Gerhard and Wehrheim, Heike},
  title =	{{Brief Announcement: On Strong Observational Refinement and Forward Simulation}},
  booktitle =	{35th International Symposium on Distributed Computing (DISC 2021)},
  pages =	{55:1--55:4},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-210-5},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{209},
  editor =	{Gilbert, Seth},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14857},
  URN =		{urn:nbn:de:0030-drops-148575},
  doi =		{10.4230/LIPIcs.DISC.2021.55},
  annote =	{Keywords: Strong Observational Refinement, Hyperproperties, Forward Simulation}
}

Keywords: Strong Observational Refinement, Hyperproperties, Forward Simulation
Collection: 35th International Symposium on Distributed Computing (DISC 2021)
Issue Date: 2021
Date of publication: 04.10.2021

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