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Automated red teaming: a proposed framework for military application

In this paper, we describe Automated Red Teaming (ART), a concept that uses Evolutionary Algorithm (EA), Parallel Computing and Simulation to complement the manual Red Teaming effort to uncover system vulnerabilities or to find exploitable gaps in military operational concepts. The overall goal is to reduce surprises, improve and ensure the robustness of the Blue ops concepts. The design of key components and techniques that are required to develop an ART framework are described and discussed. An experiment with a military scenario in Urban Operations (UO) was conducted and the results analyzed to demonstrate the capability of the ART framework. Results showed that Red Force survivability can be improved by 27% just by modifying behavioral parameters alone. These findings could be used by Blue Force to refine their tactics and strategy thereby ensuring robustness of plans and higher mission success.