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Deductive Controller Synthesis for Probabilistic Hyperproperties

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU149418" target="_blank" >RIV/00216305:26230/23:PU149418 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-031-43835-6_20" target="_blank" >http://dx.doi.org/10.1007/978-3-031-43835-6_20</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-43835-6_20" target="_blank" >10.1007/978-3-031-43835-6_20</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Deductive Controller Synthesis for Probabilistic Hyperproperties

  • Original language description

    Probabilistic hyperproperties specify quantitative relations between the probabilities of reaching different target sets of states from different initial sets of states. This class of behavioral properties is suitable for capturing important security, privacy, and system-level requirements. We propose a new approach to solve the controller synthesis problem for Markov decision processes (MDPs) and probabilistic hyperproperties. Our specification language builds on top of the logic HyperPCTL and enhances it with structural constraints over the synthesized controllers. Our approach starts from a family of controllers represented symbolically and defined over the same copy of an MDP. We then introduce an abstraction refinement strategy that can relate multiple computation trees and that we employ to prune the search space deductively. The experimental evaluation demonstrates that the proposed approach considerably outperforms&nbsp;HYPERPROB, a state-of-the-art SMT-based model checking tool for HyperPCTL. Moreover, our approach is the first one that is able to effectively combine probabilistic hyperproperties with additional intra-controller constraints (e.g.&nbsp;partial observability) as well as inter-controller constraints (e.g.&nbsp;agreements on a common action).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Quantitative Evaluation of SysTems

  • ISBN

    978-3-031-43834-9

  • ISSN

  • e-ISSN

  • Number of pages

    19

  • Pages from-to

    288-306

  • Publisher name

    Springer Verlag

  • Place of publication

    Cham

  • Event location

    Antwerp

  • Event date

    Sep 20, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article