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Characterizing warfare in red teaming.

Ang Yang1, Hussein A Abbass, Ruhul Sarker

  • 1School of Information Technology and Electrical Engineering, University of New South Wales, Australian Defence Force Academy, Canberra, ACT 2600, Australia. Ang.Yang@adfa.edu.au

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|April 12, 2006
PubMed
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This study characterizes search space difficulties in red teaming simulations. Understanding stochastic fitness functions is crucial for evaluating evolutionary computation methods in defense strategies.

Area of Science:

  • Cybersecurity
  • Artificial Intelligence
  • Defense Analysis

Background:

  • Red teaming simulates adversary behaviors to predict future scenarios.
  • Evolutionary computation is increasingly used in defense red teaming.
  • Stochastic fitness functions in these systems yield variable outcomes.

Purpose of the Study:

  • To characterize search space difficulties in red teaming.
  • To understand the role of stochastic fitness in evolutionary methods.
  • To provide insight into the performance of evolutionary methods in stochastic environments.

Main Methods:

  • Analysis of red teaming simulation environments.
  • Characterization of search space properties.
  • Investigation of stochastic fitness function impact.

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Main Results:

  • Identified key challenges in red teaming search spaces.
  • Highlighted the stochastic nature of fitness functions.
  • Provided a foundational understanding for evolutionary method performance.

Conclusions:

  • Characterizing search space difficulties is essential for effective red teaming.
  • Further research is needed to optimize evolutionary methods in stochastic defense scenarios.
  • This work offers initial insights into performance expectations.