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
Link To Document :
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