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N-PAT: A Nested Model-Checker (System Description)

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Date

2020

Authors

Bride, Hadrien
Cai, Cheng-Hao
Dong, Jin Song
Gore, Rajeev
Hou, Zhe
Mahony, Brendan
McCarthy, Jim

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Abstract

N-PAT is a new model-checking tool that supports the verification of nested-models, i.e. models whose behaviour depends on the results of verification tasks. In this paper, we describe its operation and discuss mechanisms that are tailored to the efficient verification of nested-models. Further, we motivate the advantages of N-PAT over traditional model-checking tools through a network security case study.

Description

Keywords

Citation

URI

http://hdl.handle.net/1885/311785

Collections

ANU Research Publications

Source

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1007/978-3-030-51054-1_22

Restricted until

2099-12-31

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978-3-030-51054-1_22.pdf (651.26 KB)

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