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On the Complexity of Reasoning About Dynamic Policies

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Computer Science Logic (CSL 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4646))

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Abstract

We study the complexity of satisfiability for DLP\(_{\mathrm{dyn}}^+\), an expressive logic introduced by Demri that allows to reason about dynamic policies. DLP\(_{\mathrm{dyn}}^+\) extends the logic DLPdyn of Pucella and Weissman, which in turn extends van der Meyden’s Dynamic Logic of Permission (DLP). DLP\(_{\mathrm{dyn}}^+\) generously enhances DLP and DLPdyn by allowing to update the policy set by adding or removing policy transitions, which are defined as a direct product of two sets, each specified by a formula of the logic itself. It is proven that satisfiability for DLP\(_{\mathrm{dyn}}^+\) is complete for deterministic exponential time. Our results close the complexity gap of satisfiability for DLP\(_{\mathrm{dyn}}^+\) from 2EXP, and for DLPdyn from NEXP, to EXP respectively, matching the EXP lower bound both inherit from Propositional Dynamic Logic (PDL). To prove the EXP upper bound for DLP\(_{\mathrm{dyn}}^+\), we first proceed by accurately identifying a suitable generalization of PDL, which allows to use compressed programs and then find a satisfiability preserving translation from DLP\(_{\mathrm{dyn}}^+\) to this extension of PDL. To finally show the EXP upper bound for DLP\(_{\mathrm{dyn}}^+\), we prove that satisfiability of our extension of PDL lies in EXP!.

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Jacques Duparc Thomas A. Henzinger

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Göller, S. (2007). On the Complexity of Reasoning About Dynamic Policies. In: Duparc, J., Henzinger, T.A. (eds) Computer Science Logic. CSL 2007. Lecture Notes in Computer Science, vol 4646. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74915-8_28

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  • DOI: https://doi.org/10.1007/978-3-540-74915-8_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74914-1

  • Online ISBN: 978-3-540-74915-8

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