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Exploitation of Network-Based Information

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-08-M-0209
Agency Tracking Number: N081-081-0028
Amount: $69,998.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N08-081
Solicitation Number: 2008.1
Solicitation Year: 2008
Award Year: 2008
Award Start Date (Proposal Award Date): 2008-05-12
Award End Date (Contract End Date): 2009-03-12
Small Business Information
4515 Seton Center Parkway Suite 320
Austin, TX 78759
United States
DUNS: 158034665
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Robert Morgan
 Principal Investigator
 (512) 342-0010
Business Contact
 Irene Williams
Title: COO
Phone: (512) 342-0010
Research Institution

The transition of Department of Defense (DoD) infrastructure to a Net-centric Enterprise Services (NCES) architecture on a Global Information Grid (GID) is dramatically increasing the connectedness between military, civilian, and intelligence personnel and the networks they employ. With the continued adoption of networked technologies by the DoD and adversaries, it is imperative to simultaneously research and develop technology that can provide insight into the complex behavior of these networks, so as to better understand, protect, defend, monitor, and exploit the networks for strategic goals. Novel contributions are crucial in the growing field of network science that can provide rapid insight into complex behavior of GIG-NCES networks. Toward this end, 21st Century Technologies (21CT) proposes NetMetA, a solution that provides network metric analysis capabilities applicable to the sensor, computer, human communications, and intelligence networks of the GIG. Links within GIG (communication) networks are far from simple, varying over time in the communication frequency, duration, and quantity of information exchanged. NetMetA specifically considers these critically important aspects of communication links in seeking to 1) extract relevant metrics of communication activity, 2) classify the behavior of network entities and their relationships according to common profiles, and 3) identify and measure global communication pathways.

* Information listed above is at the time of submission. *

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