DocumentCode
2111169
Title
Cross organization intelligence analysis enabled using net-centric architectures
Author
Cohen, Brad ; Medairy, Brad ; Wenzel, Greg
Author_Institution
Booz Allen Hamilton, McLean, VA, USA
Volume
5
fYear
2004
fDate
6-13 March 2004
Abstract
In today´s global environment, effective collaboration across United States intelligence agencies is of dire importance. Efficient knowledge sharing can enable agencies to enhance their ability to detect, classify, and identify possible terrorist threats. Conventional collaborative technologies do not provide enough flexibility to achieve this ambitious goal. Intelligence analysts need the ability to quickly adapt to complex, changing situations in a dynamic environment in which shifts in the overall mission is the norm rather than the anomaly. By applying leading-edge technologies and architectural approaches, a network-centric architecture can be realized to increase information sharing and the collaborative capabilities of the intelligence community. The resulting network will continue to grow over time and provide a mechanism to share data and applications across traditional organizational boundaries. Intelligence analysts will now have access to a vast set of resources that was previously unattainable, providing a capability to preemptively identify suspicious plans and diffuse terrorist activities before they occur.
Keywords
groupware; information networks; United States intelligence agencies; collaboration; collaborative technologies; cross-organization intelligence analysis; data sharing; information sharing; intelligence analysts; intelligence community; knowledge sharing; network-centric architecture; terrorist activities; terrorist threats; Cultural differences; Data analysis; Global communication; Information analysis; Intelligent networks; International collaboration; Performance analysis; Production; Protection; Terrorism;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace Conference, 2004. Proceedings. 2004 IEEE
ISSN
1095-323X
Print_ISBN
0-7803-8155-6
Type
conf
DOI
10.1109/AERO.2004.1368123
Filename
1368123
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