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A Comparative Study of Online Cybersecurity Training Platforms

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Verification and Evaluation of Computer and Communication Systems (VECoS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14368))

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Abstract

With the rapidly growing number of cybersecurity training solutions, new opportunities have been introduced for real-world simulated cyber threats to be accessible. It has improved the participant’s ability to detect and respond in a timely and effective manner. These platforms vary in technical details. However, all have one common objective to improve cybersecurity understanding and awareness. This paper presents and surveys the ten most popular commercial and open-source cybersecurity training platforms for online learning based on practical training. In addition, a comparative analysis and discussion of platform-specific features based on a proposed software taxonomy that aids in the classification is presented. The findings of this study can be useful to both developers and contributors of cybersecurity training platforms for further improvements or to develop new ones.

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Author information

Authors and Affiliations

  1. Laboratory LIMATI, FPBM, USMS University, Beni Mellal, Morocco

    Abdeslam Rehaimi & Yassine Sadqi

  2. Laboratory LaSTI, ENSAK, USMS University, Beni Mellal, Morocco

    Yassine Maleh

Authors
  1. Abdeslam Rehaimi
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  2. Yassine Sadqi
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  3. Yassine Maleh
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Correspondence to Abdeslam Rehaimi .

Editor information

Editors and Affiliations

  1. CEA LIST, Gif-sur-Yvette, France

    Belgacem Ben Hedia

  2. Université Sultan Moulay Slimane, Beni Mellal, Morocco

    Yassine Maleh

  3. Al-Baha University, Al Baha, Saudi Arabia

    Moez Krichen

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Rehaimi, A., Sadqi, Y., Maleh, Y. (2024). A Comparative Study of Online Cybersecurity Training Platforms. In: Ben Hedia, B., Maleh, Y., Krichen, M. (eds) Verification and Evaluation of Computer and Communication Systems. VECoS 2023. Lecture Notes in Computer Science, vol 14368. Springer, Cham. https://doi.org/10.1007/978-3-031-49737-7_9

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  • DOI: https://doi.org/10.1007/978-3-031-49737-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49736-0

  • Online ISBN: 978-3-031-49737-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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