INTERDICTION MODELING FOR SMUGGLED NUCLEAR MATERIAL

Year
2008
Author(s)
Nedialko B. Dimitrov - The University of Texas at Austin
Dennis P. Michalopoulos - The University of Texas at Austin
Michael V. Nehme - The University of Texas at Austin
Gregory G. Thoreson - The University of Texas at Austin
Abstract
We describe a stochastic interdiction model on a transportation network consisting of two adversaries: a nuclear-material smuggler and an interdictor. The interdictor first installs radiation detectors on the network. These installations are transparent to the smuggler, and are made under an uncertain threat scenario, which specifies the smuggler’s origin and destination, the nature of the material being smuggled, the manner in which it is shielded, and the mechanism by which the smuggler will select a route. The interdictor’s goal is to minimize the probability the smuggler avoids detection. The performance of the detection equipment depends on the material being sensed, geometric attenuation, shielding, cargo and container type, background, time allotted for sensing and a number of other factors. Using a stochastic radiation transport code (MCNPX), we estimate detection probabilities for a specific set of such parameters, and inform the interdiction model with these estimates.