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Predicate abstraction for hyperliveness verification
Raven Beutner1, Bernd Finkbeiner1
1CISPA Helmholtz Center for Information Security, Saarbrücken, Germany.
This study introduces automated verification for ∀ᵏ∃ˡ-safety properties in infinite-state systems, extending beyond k-safety analysis. The new method enables checking complex temporal hyperproperties, enhancing system verification capabilities.
Area of Science:
- Formal methods
- Computer science
- Software verification
Background:
- Temporal hyperproperties analyze system behaviors across multiple execution traces.
- Existing verification methods for infinite-state systems are limited, primarily to k-safety properties.
- Analysis of temporal hyperproperties in infinite-state systems has historically been restricted.
Purpose of the Study:
- To present an automated method for verifying ∀ᵏ∃ˡ-safety properties in infinite-state systems.
- To extend the scope of verifiable temporal hyperproperties beyond k-safety.
- To enable the verification of complex properties like generalized non-interference and program refinement.
Main Methods:
- The verification method employs strategy-based instantiation for existential trace quantification.
- A program reduction technique is utilized within the verification process.
- The method operates within the framework of fixed predicate abstraction.
Main Results:
- An automated verification approach for ∀ᵏ∃ˡ-safety properties in infinite-state systems is successfully developed.
- The method effectively handles properties involving combined universal and existential quantification over traces.
- The approach supports the verification of hyperliveness properties, including generalized non-interference and program refinement.
Conclusions:
- The presented method significantly advances the automated verification of temporal hyperproperties in infinite-state systems.
- This work broadens the applicability of formal verification techniques to a wider range of complex system properties.
- The developed technique provides a foundation for analyzing and ensuring the correctness of advanced system behaviors.
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