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Hauptverfasser: Leneutre, Jean, Malvone, Vadim, Ortiz, James
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2411.00025
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author Leneutre, Jean
Malvone, Vadim
Ortiz, James
author_facet Leneutre, Jean
Malvone, Vadim
Ortiz, James
contents In this paper, we propose a novel formalism called Probabilistic Obstruction Temporal Logic (POTL), which extends Obstruction Logic (OL) by incorporating probabilistic elements. POTL provides a robust framework for reasoning about the probabilistic behaviors and strategic interactions between attackers and defenders in environments where probabilistic events influence outcomes. We explore the model checking complexity of POTL and demonstrate that it is not higher than that of Probabilistic Computation Tree Logic (PCTL), making it both expressive and computationally feasible for cybersecurity and privacy applications.
format Preprint
id arxiv_https___arxiv_org_abs_2411_00025
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Probabilistic Obstruction Temporal Logic: a Probabilistic Logic to Reason about Dynamic Models
Leneutre, Jean
Malvone, Vadim
Ortiz, James
Logic in Computer Science
Computer Science and Game Theory
In this paper, we propose a novel formalism called Probabilistic Obstruction Temporal Logic (POTL), which extends Obstruction Logic (OL) by incorporating probabilistic elements. POTL provides a robust framework for reasoning about the probabilistic behaviors and strategic interactions between attackers and defenders in environments where probabilistic events influence outcomes. We explore the model checking complexity of POTL and demonstrate that it is not higher than that of Probabilistic Computation Tree Logic (PCTL), making it both expressive and computationally feasible for cybersecurity and privacy applications.
title Probabilistic Obstruction Temporal Logic: a Probabilistic Logic to Reason about Dynamic Models
topic Logic in Computer Science
Computer Science and Game Theory
url https://arxiv.org/abs/2411.00025