Event-based Data Collection and Analysis in the Cyber Range Environment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151810" target="_blank" >RIV/00216305:26220/24:PU151810 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1145/3664476.3670448" target="_blank" >https://doi.org/10.1145/3664476.3670448</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3664476.3670448" target="_blank" >10.1145/3664476.3670448</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Event-based Data Collection and Analysis in the Cyber Range Environment

Popis výsledku v původním jazyce

The need to educate users on cybersecurity to some extent is critical due to the ever-increasing cyber threats. A number of web presentations, books, and other study materials can be used for this purpose. In contrast to passive learning methods, hands-on training offers a deeper perspective but poses considerable technical challenges to its implementation, which can be resolved using cyber range platforms. However, in order to thoroughly evaluate the training and provide sufficient feedback, data must be collected and analyzed. Our paper addresses this problem by developing an event-based approach for data collection and analysis. The use of events allows us to keep a history of an event and reconstruct it retrospectively, especially for further analysis and evaluation. We validated the implemented approach in a cyber range environment, in which we developed an interactive interface to visualize the analyzed data.

Název v anglickém jazyce

Event-based Data Collection and Analysis in the Cyber Range Environment

Popis výsledku anglicky

The need to educate users on cybersecurity to some extent is critical due to the ever-increasing cyber threats. A number of web presentations, books, and other study materials can be used for this purpose. In contrast to passive learning methods, hands-on training offers a deeper perspective but poses considerable technical challenges to its implementation, which can be resolved using cyber range platforms. However, in order to thoroughly evaluate the training and provide sufficient feedback, data must be collected and analyzed. Our paper addresses this problem by developing an event-based approach for data collection and analysis. The use of events allows us to keep a history of an event and reconstruct it retrospectively, especially for further analysis and evaluation. We validated the implemented approach in a cyber range environment, in which we developed an interactive interface to visualize the analyzed data.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20203 - Telecommunications

Projekt

<a href="/cs/project/TS01020042" target="_blank" >TS01020042: Výzkum nových metod automatizace, gamifikace a umělé inteligence pro defenzivní trénink odborníků v oblasti kritické elektroenergetické infrastruktury</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and Security

ISBN

979-8-4007-1718-5

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

1-8

Název nakladatele

Association for Computing Machinery

Místo vydání

New York, NY, USA

Místo konání akce

Vídeň

Datum konání akce

30. 7. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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