ARETHUS - A Decision Support Platform for Reasoning About Security

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00309215" target="_blank" >RIV/68407700:21230/16:00309215 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3233/978-1-61499-716-0-184" target="_blank" >http://dx.doi.org/10.3233/978-1-61499-716-0-184</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/978-1-61499-716-0-184" target="_blank" >10.3233/978-1-61499-716-0-184</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ARETHUS - A Decision Support Platform for Reasoning About Security

Popis výsledku v původním jazyce

Asymmetric threats in the current world are focused on various critical infrastructures. We choose a subset of the infrastructures and a set of surveillance policies, and we propose a number of security countermeasures that should be able to detect and potentially prevent a potential attack. Our goal is to provide a unified decision support platform ARETHUS to help decision-makers notice a threat and then choose from a computed array of potential preventive actions. The platform is built using a mixed-reality concept, and allows mixing of real-world and simulated data to provide not only a real-time work environment, but also a testbed to test out various scenarios. We plug in a number of algorithms computing various patrolling policies for heterogeneous agents, and we make the platform extensible for use by others. We demonstrate the usability of the platform and the performance of the algorithms on a set of pipeline protection scenarios.

Název v anglickém jazyce

ARETHUS - A Decision Support Platform for Reasoning About Security

Popis výsledku anglicky

Asymmetric threats in the current world are focused on various critical infrastructures. We choose a subset of the infrastructures and a set of surveillance policies, and we propose a number of security countermeasures that should be able to detect and potentially prevent a potential attack. Our goal is to provide a unified decision support platform ARETHUS to help decision-makers notice a threat and then choose from a computed array of potential preventive actions. The platform is built using a mixed-reality concept, and allows mixing of real-world and simulated data to provide not only a real-time work environment, but also a testbed to test out various scenarios. We plug in a number of algorithms computing various patrolling policies for heterogeneous agents, and we make the platform extensible for use by others. We demonstrate the usability of the platform and the performance of the algorithms on a set of pipeline protection scenarios.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the NATO Advanced Research Workshop on Meeting Security Challenges Through Data Analytics and Decision Support

ISBN

978-1-61499-715-3

ISSN

1874-6268

e-ISSN

—

Počet stran výsledku

19

Strana od-do

184-202

Název nakladatele

IOS Press BV

Místo vydání

Amsterdam

Místo konání akce

Aghveran

Datum konání akce

1. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000390311500017