Red teaming with coevolution

Hingston P., Preuss M.


Zusammenfassung
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.

Schlüsselwörter
coevolution; red teaming



Publikationstyp
Aufsatz (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2011

Konferenz
2011 IEEE Congress of Evolutionary Computation, CEC 2011

Konferenzort
New Orleans, LA, usa

Erste Seite
1155

Letzte Seite
1163

Seiten
1155-1163

Band
null

Sprache
Englisch

ISBN
9781424478347

DOI

Gesamter Text

Affiliierungen
Edith Cowan University, Joondalup; Universitat Dortmund