OŠLEJŠEK, Radek, Vít RUSŇÁK, Karolína DOČKALOVÁ BURSKÁ, Valdemar ŠVÁBENSKÝ, Jan VYKOPAL and Jakub ČEGAN. Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training. IEEE Transactions on Visualization and Computer Graphics. 2021, to appear, to appear, p. 1-13. ISSN 1077-2626. doi:10.1109/TVCG.2020.2977336.
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Basic information
Original name Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training
Authors OŠLEJŠEK, Radek (203 Czech Republic, guarantor, belonging to the institution), Vít RUSŇÁK (203 Czech Republic, belonging to the institution), Karolína DOČKALOVÁ BURSKÁ (203 Czech Republic, belonging to the institution), Valdemar ŠVÁBENSKÝ (703 Slovakia, belonging to the institution), Jan VYKOPAL (203 Czech Republic, belonging to the institution) and Jakub ČEGAN (203 Czech Republic, belonging to the institution).
Edition IEEE Transactions on Visualization and Computer Graphics, 2021, 1077-2626.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.558 in 2019
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1109/TVCG.2020.2977336
UT WoS 999
Keywords in English Visual analytics; cybersecurity; hands-on training; classification; education
Tags best1, J-D1
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 14/5/2021 05:58.
Abstract
Hands-on training is an effective way to practice theoretical cybersecurity concepts and increase participants’ skills. In this paper, we discuss the application of visual analytics principles to the design, execution, and evaluation of training sessions. We propose a conceptual model employing visual analytics that supports the sensemaking activities of users involved in various phases of the training life cycle. The model emerged from our long-term experience in designing and organizing diverse hands-on cybersecurity training sessions. It provides a classification of visualizations and can be used as a framework for developing novel visualization tools supporting phases of the training life-cycle. We demonstrate the model application on examples covering two types of cybersecurity training programs.
Links
EF16_019/0000822, research and development projectName: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur
MUNI/A/1076/2019, internal MU codeName: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity 20 (Acronym: SKOMU)
Investor: Masaryk University, Grant Agency of Masaryk University, Category A
MUNI/A/1411/2019, internal MU codeName: Aplikovaný výzkum: softwarové architektury kritických infrastruktur, bezpečnost počítačových systémů, zpracování přirozeného jazyka a jazykové inženýrství, vizualizaci velkých dat a rozšířená realita.
Investor: Masaryk University, Grant Agency of Masaryk University, Category A
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  • a concrete person RNDr. Vít Rusňák, Ph.D., učo 172757
  • a concrete person Mgr. Ing. Jakub Čegan, učo 208114
  • a concrete person RNDr. Radek Ošlejšek, Ph.D., učo 3636
  • a concrete person RNDr. Pavel Šmerk, Ph.D., učo 3880
  • a concrete person RNDr. Valdemar Švábenský, učo 395868
  • a concrete person RNDr. Karolína Dočkalová Burská, učo 396296
  • a concrete person RNDr. Jan Vykopal, Ph.D., učo 98724
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