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Detail publikačního výsledku
LAZAROV, W.; JANEK, S.; MARTINÁSEK, Z.; FUJDIAK, R.
Originální název
Event-based Data Collection and Analysis in the Cyber Range Environment
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
Cybersecurity; Cyber Range; Data Collection; Data Analysis
Klíčová slova v angličtině
Autoři
Rok RIV
2025
Vydáno
30.07.2024
Nakladatel
Association for Computing Machinery
Místo
New York, NY, USA
ISBN
979-8-4007-1718-5
Kniha
ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and Security
Strany od
1
Strany do
8
Strany počet
URL
https://doi.org/10.1145/3664476.3670448
Plný text v Digitální knihovně
http://hdl.handle.net/11012/250064
BibTex
@inproceedings{BUT189180, author="Willi {Lazarov} and Samuel {Janek} and Zdeněk {Martinásek} and Radek {Fujdiak}", title="Event-based Data Collection and Analysis in the Cyber Range Environment", booktitle="ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and Security", year="2024", pages="1--8", publisher="Association for Computing Machinery", address="New York, NY, USA", doi="10.1145/3664476.3670448", isbn="979-8-4007-1718-5", url="https://doi.org/10.1145/3664476.3670448" }
Dokumenty
3664476.3670448