Modeling and Methodology for Incorporating Existing Technologies to Produce Higher Probabilities of Detecting Suicide Bombers

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Author
Fox, William P.
Binstock, John
Minutas, Mike
Date
2013Metadata
Show full item recordAbstract
Among the many weapons currently used by terrorist organizations against public welfare and coalition
forces, human-born Improvised Explosive Devices (IEDs) present a significant threat. Commonly referred to
as suicide bombers, these individuals enter crowded public areas in order to detonate their IED, inflicting
lethal damage to the surrounding individuals. Constructed of non-standard parts and hidden under layers of
clothing, these human-born IEDs go undetected until detonated. Currently, there are no detection systems that
can identify suicide bombers at adequate standoff distances. The authors developed models and a methodology
that examine current technologies to increase the probability of identifying a suicide bomber at a checkpoint
or marketplace with an adequate standoff distance. The proposed methodology employs sensor technology
incorporating unique detection threshold values. The authors analyze our proposed methodology utilizing
a simulation model that provides both the probability of detecting a bomber and the probability of a false
detection. These simulations will allow us to determine the threshold values for each sensor that result in the
best probability of detection of a suicide bomber and allows for a small probability of false detections. Using
experimentally “good” threshold values, the authors were able to drastically increase the probability of detection
with a combination of radar and thermal imagery. In this paper, the main sensor is the hand-held radar
Description
The article of record as published may be found at http://dx.doi.org/10.4018/joris.2013070101
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