The Use of Data Mining and Network Algorithms for Chemical Warfare Agent Interdiction
Abstract
The clandestine production of chemical warfare agents is a clear threat to the security of all populations in a world where groups and individuals will use any means necessary to terrorize others and advance their agenda. Chemical synthesis routes for the production of chemical warfare agents from common household chemicals are known. This is troubling because the clandestine production of drugs from common household chemicals has been notoriously hard to stop. This research discusses methods for identifying key targets to interdict the clandestine production of dangerous chemicals through the use of both shortest path and frequent pattern search algorithms.
This paper has been withdrawn.