Cyberspace Operations Degraded Exercise & Synthetic Training Architecture (CODESTAR)

The majority of todays cyberspace training is conducted on dedicated, closed network virtual ranges that provide the basic services and controls necessary to train DoD Cyberspace Mission Forces on their primary tasks and missions [Wells,2015]. These ranges operate independently from the traditional M&S environments used to conduct battlestaff and Fleet synthetic training (FST) that, in the real world, are influenced by or rely on the cyberspace domain. As a result, there is a lack of integration with the cyberspace domain during kinetic training exercises limiting the battlestaffs ability to detect, characterize, and respond to cyber effects. Leveraging our teams subject matter expertise and applying previously developed methodologies and technologies, SoarTech, along with our partners at Johns Hopkins University Applied Physics Lab (JHU/APL) and Ingenia Services, propose to design and prototype Cyberspace Operations Degraded Exercise & Synthetic Training Architecture (CODESTAR). CODESTAR will extend an existing Degraded Synthetic Training Architecture with intelligent scenario adaptation tools [Wray, 2015]. These tools will reduce the workload of instructors, training officers and exercise controllers through an interface console, while ensuring delivery of a high-quality experience to learners.