Publication detail

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

LAZAROV, W. JANEK, S. MARTINÁSEK, Z. FUJDIAK, R.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Cybersecurity; Cyber Range; Data Collection; Data Analysis

Authors

LAZAROV, W.; JANEK, S.; MARTINÁSEK, Z.; FUJDIAK, R.

Released

30. 7. 2024

Publisher

Association for Computing Machinery

Location

New York, NY, USA

ISBN

979-8-4007-1718-5

Book

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

Pages from

1

Pages to

8

Pages count

8

URL

https://doi.org/10.1145/3664476.3670448

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"
}