Red teaming with coevolution

Hingston P., Preuss M.


Abstract
In this paper we present a coevolutionary algorithm designed to be used as a computational tool to assist in red teaming studies. In these applications, analysts seek to understand the strategic and tactical options available to each side in a conflict situation. Combining scenario simulations with a coevolutionary search of parameter space is an approach that has many attractions. We argue that red teaming applications are sufficiently different from many others where coevolution is used so that specially designed algorithms can bring advantages. We illustrate by presenting a new algorithm that simultaneously evolves strong strategies along with dangerous counter-strategies. We test the new algorithm on two example problems: an abstract problem with some difficult characteristics; and a practical red teaming scenario. Experiments show that the new algorithm is able to solve the abstract problem well, and that it is able to provide useful insights on the red teaming scenario. © 2011 IEEE.

Keywords
coevolution; red teaming



Publication type
Research article in proceedings (conference)

Peer reviewed
Yes

Publication status
Published

Year
2011

Conference
2011 IEEE Congress of Evolutionary Computation, CEC 2011

Venue
New Orleans, LA, usa

Start page
1155

End page
1163

Volume
null

Language
English

ISBN
9781424478347

DOI

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