Suspicious Network Analysis and Prediction System (SNAPS)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-07-C-0060
Agency Tracking Number: F074-018-0318
Amount: $99,999.00
Phase: Phase I
Program: STTR
Awards Year: 2007
Solicitation Year: 2007
Solicitation Topic Code: AF07-T018
Solicitation Number: N/A
Small Business Information
1235 South Clark Street, Suite 400, Arlington, VA, 22202
DUNS: 036593457
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Mark Frymire
 Technical Director
 (703) 414-5139
 mark.frymire@dac.us
Business Contact
 Kelly McClelland
Title: Director, Corporate Business Admin.
Phone: (703) 414-5024
Email: kelly.mcclelland@dac.us
Research Institution
 GEORGE MASON UNIV.
 Karen Cohn
 4400 University Drive
MS 4C6
Fairfax, VA, 22030
 (703) 993-2988
 Nonprofit college or university
Abstract
The asymmetric threat poses perhaps the most dangerous risk to US forces and assets both overseas and at home. The sheer amount of data that needs to be analyzed in order to identify suspicious entities and networks is analogous to finding a needle in a haystack. To overcome this problem we must identify advanced techniques to automatically identify networks of suspicious activity while also predicting their intent. The Decisive Analytics Corporation (DAC) and George Mason University (GMU) Team proposes an approach termed the Suspicious Network Analysis and Prediction System (SNAPS). SNAPS provides the capability to ingest disparate data sources of intelligence data, identify key actors and organizations, detect suspicious behavior, and predict and evaluate possible formations of social networks. Our advanced algorithms developed under this effort will be immediately tested on live data from the theater through DAC's Agent-based Intelligence Services (AIS) - a tool that is in the hands of the Warfighter and is performing predictive analysis on Iraq data today.

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

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