Adaptive Toolkit for the Discovery of Threats (ATDT)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$749,490.00
Award Year:
2004
Program:
SBIR
Phase:
Phase II
Contract:
N68786-04-C-7084
Agency Tracking Number:
N022-1333
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
KNOWLEDGE BASED SYSTEMS, INC.
1408 University Drive East, College Station, TX, 77840
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Perakath Benjamin
Vice President
(979) 260-5274
pbenjamin@kbsi.com
Business Contact:
Donielle Mayer
Business Operations Manag
(979) 260-5274
dmayer@kbsi.com
Research Institution:
n/a
Abstract
We propose to design, develop, and deploy an adaptive toolkit for automated threat discovery. The toolkit will provide innovative mechanisms to rapidly discover emerging threat situations. The proposed approach integrates intelligent knowledge discovery techniques with knowledge-based methods to facilitate robust and cost-effective threat detection. The main product of this project will be the Adaptive Toolkit for the Discovery of Threats (ATDT), an agent-based decision support system that facilitates the automated generation of information from distributed, multi-source, multi-discipline data to support early detection of emerging threats. ATDT's intelligent mechanisms include intelligent information retrieval, text and data mining, Bayesian threat modeling, and adaptive learning. Building off the threat assessment capabilities developed in the successful Phase I project, the proposed Phase II effort will (i) refine and enhance the ATDT architecture and tools, (ii) test and validate the ATDT methods and tools on real world Navy threat assessment application scenarios, (iii) demonstrate the ATDT threat assessment capabilities in the Phase II Navy advanced technology demonstration, (iv) transition ATDT to focused Navy applications, and (v) generalize ATDT for large scale commercial use.

* information listed above is at the time of submission.

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