DocumentCode :
1965267
Title :
Collaboration and modeling tools for counter-terrorism analysis
Author :
Popp, Robert ; Pattipati, Krishna ; Willett, Peter ; Serfaty, Daniel ; Stacy, Webb ; Carley, Kathleen ; Allanach, Jeffrey ; Tu, Haiying ; Singh, Satnam
Author_Institution :
DARPA, Arlington, VA, USA
fYear :
2004
fDate :
21-22 July 2004
Firstpage :
46
Lastpage :
52
Abstract :
One of the major challenges in counter-terrorism analysis today involves connecting the relatively few and sparse terrorism-related dots embedded within massive amounts of data flowing into the government´s intelligence and counter-terrorism agencies. Information technologies have the potential to empower analysts with a superior ability to process and analyze the data, disseminate and share it, and ultimately put the data into a form that allows senior decision-makers to understand and act on it so that they can anticipate and ultimately preempt terrorist plots or attacks from occurring. Advanced collaboration among multiple analysts or tools is one such crucial technology. We introduce NEMESIS, a collaborative environment to integrate and share information among different modeling tools. Two component-modeling tools, ASAM System and ORA, are described in this paper. The functionality of these two tools along with the NEMESIS system is illustrated via a real world example gleaned from open sources.
Keywords :
belief networks; government data processing; groupware; hidden Markov models; information analysis; information dissemination; security; terrorism; ASAM System; Bayesian networks; NEMESIS system; ORA; collaboration tools; collaborative environment; component-modeling tools; counter-terrorism agencies; counter-terrorism analysis; data analysis; data dissemination; data processing; data sharing; decision-making; government intelligence; hidden Markov models; information integration; information sharing; information technology; modeling tools; social network analysis; terrorist attack preemption; Collaboration; Collaborative tools; Data analysis; Government; Hidden Markov models; Information analysis; Information technology; Joining processes; Social network services; Terrorism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Homeland Security and Personal Safety, 2004. CIHSPS 2004. Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8381-8
Type :
conf
DOI :
10.1109/CIHSPS.2004.1360206
Filename :
1360206
Link To Document :
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