research advances in automated red teaming
We present, combine and apply novel research advances to Automated Red Teaming (ART). ART is an automated vulnerability assessment tool which is employed to uncover the hard-to-predict and potentially critical elements of military operations. ART is principally based on the use of agent-based modelling/simulation, data farming and evolutionary computation. In this paper, we present two distinct computational methods to address multiple issues of ART: constraint handling and computing budget. These novel techniques originate from the research fields of evolutionary computation and cloud computing. These techniques are applied to a military toy model which was developed with the agent-based simulation platform MANA. We then discuss another potential bottleneck of ART: many-objective optimization. The aim of this research is to optimize ART to best assist defense experts in operational analysis and, ultimately, in critical decision making.
automated red teaming constraint handling cloud computing