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Behavior Signatures

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-07-M-6814
Agency Tracking Number: F071-039-2429
Amount: $99,679.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF071-039
Solicitation Number: 2007.1
Solicitation Year: 2007
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-04-03
Award End Date (Contract End Date): 2008-02-03
Small Business Information
8620 N. New Braunfels, Suite 603
San Antonio, TX 78217
United States
DUNS: 156753402
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Brice Stone
 Senior Scientist
 (210) 545-1028
Business Contact
 Bruce Dunson
Title: President
Phone: (210) 822-2310
Research Institution

The objective of this research project is to develop a new class of multi-attribute behavior signatures to enable the anticipation of enemy activities. Asymmetric warfare and operations against transnational terrorist groups would significantly benefit from a new class of multi-attribute behavior signatures for predicting adversary intent and their likely courses of actions. These behavior signatures could potentially draw upon multiple streams of intelligence data, possibly over long temporal durations, to provide direct and indirect indicators of activities of interest. Conceptually, behavior signatures can be considered to be schemas whose attributes delineate a set of characteristics, or patterns of activity, that define the behavior of potential threat entities (consisting of individuals, groups, organizations, societies, and/or nations/states). The activation or realization of a behavior signature for a particular threat entity can be all or nothing or partial, where some, but not all, of the attributes are matched. Research is needed to define selected initial signature libraries, to explore the type of architecture required to use behavior signatures as a computational system (such as probabilistic neural networks, multinomial logistic regression, etc.), and to identify which Air Force systems would benefit most from behavior signatures technology (such as counter intelligence from influence operations).

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

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