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Resolving the Problem of Aligning Communities of Interest, Data Format Differences, Orthogonal Sensor Views, Intermittency, and Security - DoD Homeland Security Command and Control Advanced Concept Technology Demonstration

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The existence of diverse sensor, human intel and assessment information within isolated communities of interest creates blind spots in classic command and control environments where it is too expensive to instantiate standing capabilities to address a particular threat or align organizations to asymmetric attacks prior to an event. The problem is further exacerbated by the relatively rigid definition of community boundaries and views of relevant data within a community. The DoDOSD Homeland Security Command and Control ACTD has attempted to address specific issues surrounding the problem of sharing C2 data between organizations and realigning data to address different roles and missions that might consume such data. In order to meet Department of Defense objectives to extend reach and improve agility through net-centricity, the ACTD implemented a sophisticated alerting framework to integrate various data sources and direct appropriately filtered and formatted data to users that have authority and need to see it. The design of the system, known as the Homeland Security On-Line Services Alerting Framework addressed the very real need to dynamically realign mission threads, organizations, and C2 systems to address the creation of new communities to address highly eccentric asymmetric attacks. Such dynamic capabilities also infer the use of secure service oriented applications that eliminate the provisioning problems associated with traditional C2 systems. Further the reach to civilian participants with a minimum of advanced training requires the implementation of highly automated simple to use systems, to this end the Alerting Framework has implemented a flexible interface for remote subscription and user characterization that directly modifies rules based data distribution driven from the edge.

Subject Categories:

  • Theoretical Mathematics
  • Operations Research
  • Computer Hardware
  • Computer Systems

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