DDDAS-Based Resilient Cyber Battle Management Services (D-RCBMS)

Abstract

The integration of data from numerous, disparate sources of a cyber battle space makes the transformation of those data into actionable information extremely complex. Applying dynamic analysis, agile synthesis, and predictive modeling techniques to this problem space using human interaction would be impractical. An example of this type of situation is a hostile area where lives are at risk. By adopting the Dynamic Data-Driven Applications System (DDDAS) paradigm, we can efficiently address cyber battle management challenges through the following capabilities: (a) a simulation infrastructure that encompasses realistically complex scenarios, (b) information integration and informatics capacity to both ingest the massive data sets needed to capture large-scale cyber battle management complexity to process the result in a timely manner in order to support decision making processes, and (c) resilient computations and communications services to enable cyber battle management system to tolerate any type of attacks against command and control operations. In this paper, we will show how the DDDAS paradigm can be used to develop a DDDAS-based Resilient Cyber Battle Management Services (D-RCBMS) that would generate immediate transformative opportunities in development of network centric warfare management capabilities and utilization. The disruptive concept of cyber battle space comes from the potential to treat a weapon as well as all other resources (logical or physical) involved in a cyber battle space as nodes on the network. Within a network-centric environment such as the Global Information Grid (GIG), consuming the data streaming in from hundreds or thousands of data sources (e.g., sensors, observations, etc.) and creating actionable information is a desired capability. However, achieving this vision presents significant computing and computational challenges that require updates to current practices, paradigms and infrastructures in network-centric warfare, which are based on static, pre-orchestrated and centrally mediated models and implementations. The hallmark of D-RCBMS framework is the ability to dynamically couple and autonomically configure, in real-time, complex and customized interaction between physical models, environmental sensors and effectors, and embedded protocols. The D-RCBMS framework is based on a service-oriented cyberinfrastructure for pervasive access to, and coordinated sharing of geographically distributed hardware, software, and information resources, as well as interactions between computations, simulations, information/data, and experts distributed across the global information grid (GIG).