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Verification and control of turn-based probabilistic real-time games

Abstract:
Quantitative verification techniques have been developed for the formal analysis of a variety of probabilistic models, such as Markov chains, Markov decision process and their variants. They can be used to produce guarantees on quantitative aspects of system behaviour, for example safety, reliability and performance, or to help synthesise controllers that ensure such guarantees are met. We propose the model of turn-based probabilistic timed multi-player games, which incorporates probabilistic choice, real-time clocks and nondeterministic behaviour across multiple players. Building on the digital clocks approach for the simpler model of probabilistic timed automata, we show how to compute the key measures that underlie quantitative verification, namely the probability and expected cumulative price to reach a target. We illustrate this on case studies from computer security and task scheduling.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-030-31175-9_22

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Trinity College
Role:
Author
ORCID:
0000-0001-9022-7599

Contributors

Role:
Editor
Role:
Editor
Role:
Editor


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Funder identifier:
https://ror.org/0439y7842
Grant:
EP/M019918/1


Publisher:
Springer Verlag
Host title:
The Art of Modelling Computational Systems: A Journey from Logic and Concurrency to Security and Privacy Essays Dedicated to Catuscia Palamidessi on the Occasion of Her 60th Birthday
Pages:
379-396
Series:
Lecture Notes in Computer Science
Series number:
11760
Publication date:
2019-11-04
Acceptance date:
2019-06-12
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
EISBN:
9783030311759
ISBN:
9783030311742


Language:
English
Pubs id:
pubs:1031914
UUID:
uuid:071082e8-71d7-4e4b-81ef-73f36e56fa82
Local pid:
pubs:1031914
Source identifiers:
1031914
Deposit date:
2019-07-28

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