USA flag logo/image

An Official Website of the United States Government

Adaptive Toolkit for the Discovery of Threats (ATDT)

Award Information

Department of Defense
Award ID:
Program Year/Program:
2003 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Knowledge Based Systems, Inc.
1408 University Drive East College Station, TX 77840-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2003
Title: Adaptive Toolkit for the Discovery of Threats (ATDT)
Agency / Branch: DOD / NAVY
Contract: N68786-03-C-0003
Award Amount: $99,817.00


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 discoverytechniques 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 facilitatesthe automated generation of information from disparate and distributed data to support early detection of emerging threats. The Phase I effort will (i) establish ATDT requirements, (ii) design the ATDT architecture, and (iii) demonstrate prototype ATDTsoftware. The Phase II project will harden the software and demonstrate its benefits on focused military and commercial applications. Key innovations include (i) hybrid approach that combines knowledge discovery methods with classical rule basedtechniques, (ii) extendible and reconfigurable agent-based architecture, and (iii) intelligent learning mechanisms that adapt to changing data patterns. Key benefits include (a) ability to rapidly and accurately predict emerging threats, (b) significantreductions in the time and effort for converting distributed data to actionable decision information, and (c) robust threat prediction in dynamic and uncertain environments. The principal benefit is the capability to rapidly, reliably, and accurately -detect and predict emerging threats. Applications include terrorist threat prediction, emergency response management, target/decoy recognition and discrimination, industrial espionage detection, financial fraud detection, computer network intrusiondetection, and business intelligence.

Principal Investigator:

Perakath Benjamin
Vice President

Business Contact:

Donielle Mayer
Business Operations Manag
Small Business Information at Submission:

1408 University Drive East College Station, TX 77840

EIN/Tax ID: 742505334
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No