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Traffic and log data captured during a cyber defense exercise.

Daniel Tovarňák1, Stanislav Špaček1,2, Jan Vykopal1

  • 1Institute of Computer Science, Masaryk University, Brno, Czech Republic.

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Summary
This summary is machine-generated.

Researchers created realistic cybersecurity datasets from a two-day cyber defense exercise. This network traffic and event log data enables practical testing of new security methods.

Keywords:
Cyber defense exerciseCybersecurityEvent logKYPONetwork flowNetwork trafficSyslog

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Area of Science:

  • Cybersecurity
  • Network Security
  • Data Science

Background:

  • Cybersecurity research requires realistic network traffic datasets for evaluating new methods.
  • Existing datasets often lack realism, leading to ineffective security solutions in practice.
  • A gap exists in readily available, structured data from complex cyber defense scenarios.

Purpose of the Study:

  • To provide a realistic dataset of network traffic and event logs from a cyber defense exercise.
  • To facilitate the development and validation of practical cybersecurity tools and techniques.
  • To offer structured, processable data for immediate use in research and development.

Main Methods:

  • Conducted a two-day cyber defense exercise simulating realistic network activity.
  • Collected network traffic flows and system event logs (Linux and Windows).
  • Structured data in JSON format with accompanying data schemes and dictionaries.
  • Provided network topology in NetJSON format.

Main Results:

  • Generated comprehensive datasets including network flows and event logs.
  • Data is structured in JSON, including schemas and dictionaries for ease of use.
  • Network topology data is available in NetJSON format.

Conclusions:

  • The provided dataset bridges the gap between theoretical research and practical application.
  • This resource enables more effective development and testing of cybersecurity defenses.
  • Researchers can now utilize realistic data for validating network security methods.