Bartocci, E., Henzinger, T. A., Nickovic, D., & Oliveira Da Costa, A. A. (2023). Hypernode Automata. In G. Perez & J.-F. Raskin (Eds.), 34th International Conference on Concurrency Theory (CONCUR 2023) (pp. 1–16). Schloss-Dagstuhl - Leibniz Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2023.21
E191-01 - Forschungsbereich Cyber-Physical Systems
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Published in:
34th International Conference on Concurrency Theory (CONCUR 2023)
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ISBN:
978-3-95977-299-0
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Volume:
279
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Date (published):
7-Sep-2023
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Event name:
34th International Conference on Concurrency Theory, CONCUR 2023
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Event date:
18-Sep-2023 - 23-Sep-2023
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Event place:
Antwerp, Belgium
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Number of Pages:
16
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Publisher:
Schloss-Dagstuhl - Leibniz Zentrum für Informatik
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Peer reviewed:
Yes
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Keywords:
Hyperproperties; Asynchronous; Automata; Logic
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Abstract:
We introduce hypernode automata as a new specification formalism for hyperproperties of concurrent systems. They are finite automata with nodes labeled with hypernode logic formulas and transitions labeled with actions. A hypernode logic formula specifies relations between sequences of variable values in different system executions. Unlike HyperLTL, hypernode logic takes an asynchronous view on execution traces by constraining the values and the order of value changes of each variable without correlating the timing of the changes. Different execution traces are synchronized solely through the transitions of hypernode automata. Hypernode automata naturally combine asynchronicity at the node level with synchronicity at the transition level. We show that the model-checking problem for hypernode automata is decidable over action-labeled Kripke structures, whose actions induce transitions of the specification automata. For this reason, hypernode automaton is a suitable formalism for specifying and verifying asynchronous hyperproperties, such as declassifying observational determinism in multi-threaded programs.
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Project title:
High-dimensional statistical learning: New methods to advance economic and sustainability policies: ZK 35-G (FWF - Österr. Wissenschaftsfonds)
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Research Areas:
Computer Engineering and Software-Intensive Systems: 100%