DyNAMITE

Intelligent information dissemination will be a critical weapon in future warfare, since it will enable warfighters to reduce sensor-to-shooter information delivery time, quickening the “kill chain” execution as a result. The future combat cloud mesh network must be agile and able to adapt to dynamic information delivery methods, formats, sources, languages and media to ensure tight coordination of assets across service boundaries, control boundaries, coalition forces and security domains. The US Navy has made significant progress developing a Joint All-Domain Command and Control (JADC2)-enabling Battle Network on Theodore Roosevelt CSG through its Project Overmatch efforts. In addition, other recent programs are addressing the highly challenging task of ensuring the highest priority messages are delivered through the Combat Cloud to impacted systems in the shortest possible time to provide, with the objective of producing a comprehensive, reliable common operational picture (COP). In Phase I, the Securboration team developed relevant mission scenarios based on a futuristic battlespace, and metrics to demonstrate and evaluate DyNAMITE (Dynamic Network Assessment for Mission Information in Tactical Engagements) capabilities. The team also designed an advanced machine learning algorithm for testing and evaluation. In Phase II, the Securboration team proposes to build, demonstrate, and fully test the novel DyNAMITE framework that offers significant innovations for the future tactical airborne mesh networks and other agile communications architectures.   The DyNAMITE machine learning algorithms combined with Raytheon BBN and Securboration’s existing work through the DyNAMO, ACK, DISTRICT, and DIPCE programs will contribute significantly to the successful deployment of the future tactical mesh network in the 2025-30 timeframe.