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Sandbox Environment for Offensive and Defensive Training in Smart Metering

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151666" target="_blank" >RIV/00216305:26220/24:PU151666 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-981-97-4677-4_5" target="_blank" >https://doi.org/10.1007/978-981-97-4677-4_5</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-981-97-4677-4_5" target="_blank" >10.1007/978-981-97-4677-4_5</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sandbox Environment for Offensive and Defensive Training in Smart Metering

  • Original language description

    This paper analyzes an effective implementation of cybersecurity training for smart grid networks through the utilization of the advanced cyber range known as the Brno University of Technology Cyber Arena (BUTCA) and the DLMS Application for Testing Energy Labs (DATEL). It encompasses a comprehensive range of defensive and offensive scenarios designed to prepare experts as well as students in smart grid technologies for real-world challenges. This paper introduces new training scenarios in a sandbox environment of the BUTCA platform and presents a possible way of future expansion of teaching and training for a wide range of stakeholders, from students to teachers, specialists in smart metering, and cybersecurity experts.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20203 - Telecommunications

Result continuities

  • Project

    <a href="/en/project/VJ02010016" target="_blank" >VJ02010016: Application of Artificial Intelligence for Ensuring Cyber Security for Smart City</a><br>

  • Continuities

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

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances and Trends in Artificial Intelligence. Theory and Applications

  • ISBN

    978-981-97-4677-4

  • ISSN

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    43-55

  • Publisher name

    Springer

  • Place of publication

    Singapore

  • Event location

    Hradec Králové

  • Event date

    Jul 10, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article