DocumentCode :
2977380
Title :
Swarming Pattern Analysis to Identify IED Threat
Author :
Brueckner, S. ; Brophy, S. ; Downs, E.
Author_Institution :
Div. of TTGSI, Vector Res. Center, Ann Arbor, MI, USA
fYear :
2010
fDate :
Sept. 27 2010-Oct. 1 2010
Firstpage :
271
Lastpage :
272
Abstract :
At a tactical level, insurgents planning attacks with Improvised Explosive Devices (IEDs) are constrained in their choice of target by the specific location of their safe house or weapons cache, the geographic context in which they operate, and the pattern of potential targets as it presents itself at a given time. Geographic profiling in law-enforcement already takes advantage of similar constraints to identify possible origin locations of serial offenders. We show how geographic profiling of past IED events can significantly enhance our ability to identify areas at risk for future attacks. Specifically, we introduce three tightly coupled swarming pattern analysis models (profiling, clustering, forecasting) that refine each others´ conclusions dynamically and point to systematic evaluation experiments that confirm the research hypothesis.
Keywords :
explosives; military computing; pattern clustering; planning (artificial intelligence); risk analysis; weapons; IED threat identification; geographic profiling; improvised explosive device; insurgents planning attack; law enforcement; swarming pattern analysis model; weapons cache; Analytical models; Computational modeling; Couplings; Forecasting; Pattern analysis; Predictive models; Security; application; architecture; experiments; pattern analysis; swarm intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Self-Adaptive and Self-Organizing Systems (SASO), 2010 4th IEEE International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4244-8537-6
Electronic_ISBN :
978-0-7695-4232-4
Type :
conf
DOI :
10.1109/SASO.2010.39
Filename :
5629738
Link To Document :
بازگشت