Modeling & Simulation

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The DoD has outlined a Strategic Vision and goals for DoD Modeling and Simulation (M&S). One of the goals is to "Promote the sharing of tools, data, and information across the DoD Enterprise," to enable reuse and interoperability of models, simulations, and associated data. Providing visibility into the Modeling & Simulation (M&S) resources across the…

One of the goals of the DoD Net Centric vision is to provide visibility into the Modeling & Simulation (M&S) resources across the DoD enterprise. In order to manage and employ M&S capabilities effectively, senior leaders and managers must have visibility into the DoD’s M&S portfolio; organizations supported by M&S need visibility into the tools, data, and services that meet their requirements; and M&S developers need access to what has already been created in order to capitalize on existing investments.

Cyber M&S discussion moderated by Michael Weir, Director of Cybersecurity and Information Systems Information Analysis Center (CSIAC).

Afternoon breakout groups present summaries and conclusions on Cyber M&S.

Presentation by Dr. Steven King, Deputy Director, Cyber Technologies, OASD (R&E). Slide set from this presentation is available here as a PDF.

Presentation by Dr. Alexander Kott, Chief of the U.S. Army Research Laboratory (ARL) Network Science Division. Slide set from this presentation is available here as a PDF.

We are delivering the theory, processes, methodologies, and algorithms that will enable a resilient cyber infrastructure with an asymmetric advantage to thwart adversaries who seek to infiltrate and damage our national security through digital means. The ARC resilience concept is built on a modification of the Observe-Orient-Decide-Act (OODA) loop that is inward-focused. We call this the DRDA loop, or the Discover-Reason-Decide-Act loop. Through our projects, we are developing and bringing in technologies that address each quadrant and that will manipulate networks and systems. Components in this loop are relevant for non-resilience applications as well, including state-based sensors, awareness of complex systems, and decision support.

Modern networked computing systems are becoming increasingly more complex. The recent explosion of the Internet of Things (IoT), ranging from mobile embedded devices to large scale Cloud-orchestrated services has added significant challenges to the standard administration tasks associated with securing and managing networked services. The underpinnings of traditional Cloud services such as infrastructure as a…