Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Probabilistic Bisimulation for Parameterized Systems (Technical Report)

Hong, C.-D., Lin, A. W., Majumdar, R., & Rümmer, P. (2020). Probabilistic Bisimulation for Parameterized Systems (Technical Report). Technical Report.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Forschungspapier

Dateien

einblenden: Dateien
ausblenden: Dateien
:
arXiv:2011.02413.pdf (Preprint), 269KB
Name:
arXiv:2011.02413.pdf
Beschreibung:
File downloaded from arXiv at 2021-08-30 08:16
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Hong, Chih-Duo1, Autor
Lin, Anthony W.1, Autor
Majumdar, Rupak2, Autor           
Rümmer, Philipp1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Group R. Majumdar, Max Planck Institute for Software Systems, Max Planck Society, ou_2105292              

Inhalt

einblenden:
ausblenden:
Schlagwörter: Computer Science, Software Engineering, cs.SE,Computer Science, Logic in Computer Science, cs.LO
 Zusammenfassung: Probabilistic bisimulation is a fundamental notion of process equivalence for
probabilistic systems. Among others, it has important applications including
formalizing the anonymity property of several communication protocols. There is
a lot of work on verifying probabilistic bisimulation for finite systems. This
is however not the case for parameterized systems, where the problem is in
general undecidable. In this paper we provide a generic framework for reasoning
about probabilistic bisimulation for parameterized systems. Our approach is in
the spirit of software verification, wherein we encode proof rules for
probabilistic bisimulation and use a decidable first-order theory to specify
systems and candidate bisimulation relations, which can then be checked
automatically against the proof rules. As a case study, we show that our
framework is sufficiently expressive for proving the anonymity property of the
parameterized dining cryptographers protocol and the parameterized grades
protocol, when supplied with a candidate regular bisimulation relation. Both of
these protocols hitherto could not be verified by existing automatic methods.
Moreover, with the help of standard automata learning algorithms, we show that
the candidate relations can be synthesized fully automatically, making the
verification fully automated.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2020-11-042020
 Publikationsstatus: Online veröffentlicht
 Seiten: 24 p.
 Ort, Verlag, Ausgabe: Saarbrücken : Max Planck Institute for Software Systems
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: arXiv: 2011.02413
BibTex Citekey: Hong_MPI-SWS-2018-009
Reportnr.: MPI-SWS-2018-009
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden: ausblenden:
Projektname : imPACT
Grant ID : 610150
Förderprogramm : Funding Programme 7 (FP7)
Förderorganisation : European Commission (EC)
Projektname : AV-SMP
Grant ID : 759969
Förderprogramm : Horizon 2020 (H2020)
Förderorganisation : European Commission (EC)

Quelle 1

einblenden:
ausblenden:
Titel: Technical Report
Genre der Quelle: Reihe
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: -