Repeatable Experimentation for Cybersecurity Moving Target Defense

The scientific method emphasizes that repeatable experimentation is critical for several reasons; to facilitate comparative analysis, to recreate experiments, to re-validate reported results, to critique and propose improvements, and to augment the work. In the field of cybersecurity moving target defense, where assets are shuffled to thwart attackers, it is critical to know what strategies work best, the success factors, and how these strategies may impact system performance. While some researchers make their algorithms, models, and tools available as open source, it is difficult and, in some cases, impossible to recreate studies due to the lack of the original operating environment or no support for software components used within that environment.