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Spatial and Temporal Threat Prediction System (STTPS)

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
77041
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
N061-077-0741
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-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2006
Title: Spatial and Temporal Threat Prediction System (STTPS)
Agency / Branch: DOD / NAVY
Contract: N00014-06-M-0163
Award Amount: $69,988.00
 

Abstract:

We propose to develop a Spatial and Temporal Threat Prediction System (STTPS) to be used to predict future terrorist incidents. The system will not only predict the estimated time for the attack, but will also predict the location for the attack and will opportunistically include other threat relevant data such as type of attack, responsibility for the attack, and so on. This work will build solidly on prior work at KBSI in the areas of threat detection, data mining, information fusion, knowledge discovery, and knowledge based agents. A major challenge for this type of effort is the necessity to reconcile the information from a variety of data sources. Information may come from news feeds, intelligence data, sensor readouts, private communications and many other sources. The solution that we are proposing takes advantage of previous tools developed at KBSI for the data mining/data cleaning/information extraction/threat detection domains, enabling us to concentrate on the novel parts of the problem: terrorist event prediction. BENEFITS: The benefits that accrue from this work are quite clear: we will be able to stop terrorist incidents before they happen. Intelligence analysts will be able to usurp projected terrorist events, instead of waiting to respond. The mere presence of such a system will mitigate many types of terrorist threats.

Principal Investigator:

Perakath Benjamin
Senior Research Scientist
9792605274
pbenjamin@kbsi.com

Business Contact:

Donielle Mayer
Business Operations Manag
9792605274
dmayer@kbsi.com
Small Business Information at Submission:

KNOWLEDGE BASED SYSTEMS, INC.
1408 University Drive East College Station, TX 77840

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